CN108670275A - Signal processing method and related product - Google Patents

Abstract

This application discloses a kind of signal processing method and Related products, applied to wearable device, the wearable device is worn on user's head, and the wearable device includes storage and processing circuit, and the telecommunication circuit and sensor, the above method being connect with the storage and processing circuit include：Obtain the target profile of mood state of user；When the target profile of mood state meets and presets profile of mood state, according to the mapping relations between preset profile of mood state and electrical wave parameters, target electrical wave parameters corresponding with the target profile of mood state are determined；Target electric wave corresponding with the target electrical wave parameters is generated, the target electric wave is for stimulating user, to adjust the mood of the user.Electric wave can be generated using the embodiment of the present application, to adjust the mood of user.

Description

Signal processing methods and related products

technical field

The present application relates to the field of electronic technology, in particular to a signal processing method and related products.

Background technique

With the maturity of wireless technology, there are more and more scenes where wireless earphones are connected to electronic devices such as mobile phones through wireless technology. People can realize various functions such as listening to music and making calls through wireless earphones. However, the current wireless earphones have relatively single functions, thus degrading user experience.

Contents of the invention

Embodiments of the present application provide a signal processing method and related products, which can enrich functions of wireless earphones and improve user experience.

In the first aspect, the embodiment of the present application provides a wearable device, which is worn on the user's head, and the wearable device includes a storage and processing circuit, a communication circuit and a communication circuit connected to the storage and processing circuit. sensor, where

The sensor is used to acquire the target mood type of the user;

The storage and processing circuit is used to determine the target radio wave parameter corresponding to the target mood type according to the mapping relationship between the preset mood type and radio wave parameters when the target mood type satisfies the preset mood type;

The communication circuit is used to generate target electric waves corresponding to the target electric wave parameters, and the target electric waves are used to stimulate the user to adjust the mood of the user.

In the second aspect, the embodiment of the present application provides a signal processing method applied to a wearable device, the wearable device is worn on the user's head, and the method includes:

Obtain the user's target mood type;

When the target mood type satisfies the preset mood type, according to the mapping relationship between the preset mood type and the radio wave parameter, determine the target radio wave parameter corresponding to the target mood type;

A target electric wave corresponding to the target electric wave parameter is generated, and the target electric wave is used to stimulate the user to adjust the mood of the user.

In the third aspect, the embodiment of the present application provides a signal processing device, which is applied to a wearable device, the wearable device is worn on the user's head, and the signal processing device includes a first acquisition unit, a first determination unit and a generation unit ,in:

The first acquisition unit is configured to acquire the user's target mood type;

The first determining unit is configured to, when the target mood type satisfies a preset mood type, determine the target radio wave parameter corresponding to the target mood type according to the preset mapping relationship between the mood type and radio wave parameters;

The generating unit is configured to generate target electric waves corresponding to the target electric wave parameters, and the target electric waves are used to stimulate the user to adjust the mood of the user.

In a fourth aspect, an embodiment of the present application provides a wearable device, including a processor, a memory, a communication interface, and one or more programs, wherein the one or more programs are stored in the memory and are configured by the above Executed by a processor, the above program includes instructions for executing the steps in any method of the second aspect of the embodiments of the present application.

In the fifth aspect, the embodiment of the present application provides a computer-readable storage medium, wherein the above-mentioned computer-readable storage medium stores a computer program for electronic data exchange, wherein the above-mentioned computer program enables the computer to execute Part or all of the steps described in any method of the two aspects.

In a sixth aspect, an embodiment of the present application provides a computer program product, wherein the computer program product includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to enable the computer to execute the program as implemented in the present application. For example, some or all of the steps described in any method of the second aspect. The computer program product may be a software installation package.

It can be seen that the signal processing method and related products described in the above embodiments of the present application are applied to wearable devices. The wearable device is worn on the user's head to obtain the user's target mood type, and when the target mood type meets the preset For the mood type, according to the preset mapping relationship between the mood type and the radio wave parameters, the target radio wave parameters corresponding to the target mood type are determined, and the target radio waves corresponding to the target radio wave parameters are generated. The target radio waves are used to stimulate the user and adjust the user The mood, thus, can generate electric waves to adjust the user's mood.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings that need to be used in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only These are some embodiments of the present application. Those skilled in the art can also obtain other drawings based on these drawings without creative work.

FIG. 1A is a schematic structural diagram of a wearable device disclosed in an embodiment of the present application;

FIG. 1B is a schematic flowchart of a signal processing method disclosed in an embodiment of the present application;

Fig. 2 is a schematic flowchart of another signal processing method disclosed in the embodiment of the present application;

Fig. 3 is a schematic flowchart of another signal processing method disclosed in the embodiment of the present application;

Fig. 4 is a schematic structural diagram of another wearable device disclosed in the embodiment of the present application;

FIG. 5A is a schematic structural diagram of a signal processing device disclosed in an embodiment of the present application;

Fig. 5B is a schematic structural diagram of another signal processing device disclosed in the embodiment of the present application;

FIG. 5C is a schematic structural diagram of another signal processing device disclosed in the embodiment of the present application.

Detailed ways

In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiment of the application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiment of the application. Obviously, the described embodiment is only It is an embodiment of a part of the application, but not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the scope of protection of this application.

Each will be described in detail below.

The terms "first", "second", "third" and "fourth" in the specification and claims of the present application and the drawings are used to distinguish different objects, rather than to describe a specific order . Furthermore, the terms "include" and "have", as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units is not limited to the listed steps or units, but optionally also includes unlisted steps or units, or optionally further includes For other steps or units inherent in these processes, methods, products or apparatuses.

Reference herein to an "embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the present application. The occurrences of this phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is understood explicitly and implicitly by those skilled in the art that the embodiments described herein can be combined with other embodiments.

The wearable device may include at least one of the following: wireless earphones, brain wave acquisition devices, augmented reality (augmented reality, AR)/virtual reality (virtual reality, VR) equipment, smart glasses, etc., wherein the wireless earphones may use the following technologies Realize communication: wireless fidelity (wireless fidelity, Wi-Fi) technology, Bluetooth technology, visible light communication technology, invisible light communication technology (infrared communication technology, ultraviolet communication technology), etc. In this embodiment of the present application, a wireless earphone is taken as an example, which includes left and right earplugs, the left earplug can be used as an independent component, and the right earplug can also be used as an independent component.

Optionally, the wireless earphone may be an earphone, an earphone, or a headset, which is not limited in this embodiment of the present application.

The wireless earphone can be stored in the earphone box, and the earphone box can include: two receiving cavities (the first receiving cavity and the second receiving cavity), the size and shape of the two receiving cavities are designed to receive a pair of wireless earphones (left earbud and right earplug); one or more magnetic parts of the earphone housing arranged in the box, and the above-mentioned one or more magnetic parts of the earphone housing are used to magnetically attract and magnetically fix a pair of wireless earphones into the two receiving cavities respectively. The earphone box can also include an earphone cover. Wherein, the size and shape of the first receiving cavity are designed to receive the first wireless earphone, and the size and shape of the second receiving cavity are designed to receive the second wireless earphone.

The wireless headset may include a headset housing, a rechargeable battery (e.g., a lithium battery) disposed within the headset housing, a plurality of metal contacts for connecting the battery to a charging device, a speaker assembly including a driver unit and a directional sound port, Wherein, the driver unit includes a magnet, a voice coil and a diaphragm, the driver unit is used to emit sound from the directional sound port, and the above-mentioned multiple metal contacts are arranged on the outer surface of the earphone shell.

In a possible implementation manner, the wireless earphone can also include a touch area, which can be located on the outer surface of the earphone housing, and at least one touch sensor is arranged in the touch area to detect a touch operation, and the touch sensor can include a capacitor sensor. When the user touches the touch area, at least one capacitive sensor can detect the change of its own capacitance to identify the touch operation.

In a possible implementation manner, the wireless earphone may further include an acceleration sensor and a three-axis gyroscope, the acceleration sensor and the three-axis gyroscope may be arranged in the earphone housing, and the acceleration sensor and the three-axis gyroscope are used to identify the holding position of the wireless earphone. Start action and remove action.

In a possible implementation manner, the wireless earphone may further include at least one air pressure sensor, and the air pressure sensor may be disposed on the surface of the earphone shell to detect the air pressure in the ear after the wireless earphone is worn. The tightness of the wireless headset can be detected by the air pressure sensor. When it is detected that the wireless earphone is worn loosely, the wireless earphone may send prompt information to the electronic device connected to the wireless earphone, so as to remind the user that the wireless earphone may fall.

The following describes the embodiments of the present application in detail.

Please refer to FIG. 1A. FIG. 1A is a schematic structural diagram of a wearable device disclosed in an embodiment of the present application. The wearable device 100 includes a storage and processing circuit 110, and a communication circuit 120 and a sensor connected to the storage and processing circuit 110. 170, of which:

Wearable device 100 may include control circuitry, which may include storage and processing circuitry 110 . The storage and processing circuit 110 can be memory, such as hard disk drive memory, non-volatile memory (such as flash memory or other electronically programmable read-only memory used to form a solid-state drive, etc.), volatile memory (such as static or dynamic random access memory, etc.) access memory, etc.), etc., the embodiment of the present application is not limited. Processing circuitry in storage and processing circuitry 110 may be used to control the operation of wearable device 100 . The processing circuit may be implemented based on one or more microprocessors, microcontrollers, digital signal processors, baseband processors, power management units, audio codec chips, application specific integrated circuits, display driver integrated circuits, and the like.

The storage and processing circuit 110 can be used to run software in the wearable device 100, such as Internet browsing applications, Voice over Internet Protocol (Voice over Internet Protocol, VOIP) phone call applications, email applications, media playback applications, operating systems function etc. These software can be used to perform control operations such as camera based image acquisition, ambient light measurement based on ambient light sensor, proximity sensor based measurement based on proximity sensor, information based on status indicators such as status indicators such as LEDs Display functions, touch sensor based touch event detection, functions associated with displaying information on multiple (e.g. layered) displays, operations associated with performing wireless communication functions, operations associated with collecting and generating audio signals , control operations associated with collecting and processing button press event data, and other functions in the wearable device 100 are not limited by this embodiment of the present application.

The wearable device 100 may also include an input-output circuit 150 . The input-output circuit 150 can be used to enable the wearable device 100 to realize data input and output, that is, allow the wearable device 100 to receive data from external devices and also allow the wearable device 100 to output data from the wearable device 100 to external devices. The input-output circuit 150 may further include a sensor 170 . The sensor 170 can include an ambient light sensor, a proximity sensor based on light and capacitance, a touch sensor (for example, based on an optical touch sensor and/or a capacitive touch sensor, wherein the touch sensor can be part of a touch display or can be used as a The touch sensor structure is used independently), the acceleration sensor, and other sensors, etc.

Input-output circuitry 150 may also include one or more displays, such as display 130 . The display 130 may include one or a combination of liquid crystal displays, organic light emitting diode displays, electronic ink displays, plasma displays, and displays using other display technologies. Display 130 may include a touch sensor array (ie, display 130 may be a touchscreen display). The touch sensor may be a capacitive touch sensor formed from an array of transparent touch sensor electrodes such as indium tin oxide (ITO) electrodes, or may be a touch sensor formed using other touch technologies such as acoustic touch, pressure sensitive touch, resistive touch Touch, optical touch, etc. are not limited in this embodiment of the application.

The audio component 140 may be used to provide audio input and output functions for the wearable device 100 . The audio components 140 in the wearable device 100 may include speakers, microphones, buzzers, tone generators, and other components for generating and detecting sounds.

The communication circuit 120 can be used to provide the wearable device 100 with the ability to communicate with external devices. The communication circuit 120 may include analog and digital input-output interface circuits, and wireless communication circuits based on radio frequency signals and/or optical signals. Wireless communication circuitry in communication circuitry 120 may include radio frequency transceiver circuitry, power amplifier circuitry, low noise amplifiers, switches, filters, and antennas. For example, the wireless communication circuit in the communication circuit 120 may include a circuit for supporting near field communication (Near Field Communication, NFC) by transmitting and receiving near field coupled electromagnetic signals. For example, communication circuitry 120 may include a near field communication antenna and a near field communication transceiver. Communications circuitry 120 may also include cellular telephone transceiver circuitry and antennas, wireless local area network transceiver circuitry and antennas, and the like.

The wearable device 100 may further include a battery, a power management circuit and other input-output units 160 . The input-output unit 160 may include buttons, joysticks, click wheels, scroll wheels, touch pads, keypads, keyboards, cameras, light emitting diodes and other status indicators, and the like.

The user can input commands through the input-output circuit 150 to control the operation of the wearable device 100 , and can use the output data of the input-output circuit 150 to receive status information and other outputs from the wearable device 100 .

Based on the wearable device described in Figure 1A above, it can be used to realize the following functions:

The sensor 170 is used to obtain the target mood type of the user;

The storage and processing circuit 110 is configured to determine the target radio wave parameter corresponding to the target mood type according to the preset mapping relationship between the mood type and the radio wave parameter when the target mood type satisfies a preset mood type ;

The communication circuit 120 is configured to generate target electric waves corresponding to the target electric wave parameters, and the target electric waves are used to stimulate the user to adjust the mood of the user.

It can be seen that the above-mentioned wearable device described in the embodiment of the present application is worn on the user's head to obtain the user's target mood type, and when the target mood type satisfies the preset mood type, according to the preset mood type The mapping relationship between the type and the electric wave parameter determines the target electric wave parameter corresponding to the target mood type, generates the target electric wave corresponding to the target electric wave parameter, and the target electric wave is used to stimulate the user to adjust the user's mood, so that the electric wave can be generated, to adjust the user's mood.

In a possible example, in terms of acquiring the user's target mood type, the sensor 170 is specifically used for:

collecting the brain wave signal of the user;

The target mood type is determined according to the brain wave signal.

In a possible example, the storage and processing circuit 110 is further specifically configured to:

determining an average energy value corresponding to the brain wave signal; and determining a target operating parameter corresponding to the average energy value according to a preset mapping relationship between an energy value and an operating parameter;

In terms of generating the target electric wave corresponding to the target electric wave parameter, the communication circuit is specifically used for:

Work according to the target operating parameters to generate target electric waves corresponding to the target electric wave parameters.

In a possible example, in terms of acquiring the user's target mood type, the sensor 170 is specifically used for:

Obtain the user's target facial muscle movement parameters;

According to the preset mapping relationship between facial muscle movement parameters and mood types, the target mood type corresponding to the target facial muscle movement parameters is determined.

In a possible example, the storage and processing circuit 110 is further specifically configured to, after the communication circuit generates the target electric wave corresponding to the target electric wave parameter, according to the mapping between the preset mood type and the recommended music Relationship, determine the target recommended music corresponding to the target mood type;

The sensor 170 is also specifically used to: acquire target environmental parameters;

The storage and processing circuit 110 is also specifically used for:

According to the mapping relationship between the preset environment parameters and the playback parameters, determine the target playback parameters corresponding to the target environment parameters;

The audio component 140 is specifically configured to play the target recommended music according to the target playback parameters.

Optionally, based on the wearable device described in Figure 1A above, it can be used to implement the following method:

The sensor 170 acquires the target mood type of the user;

The storage and processing circuit 110 determines the target radio wave parameter corresponding to the target mood type according to the preset mapping relationship between the mood type and the radio wave parameter when the target mood type satisfies the preset mood type;

The communication circuit 120 generates target electric waves corresponding to the target electric wave parameters, and the target electric waves are used to stimulate the user to adjust the mood of the user.

Please refer to FIG. 1B . FIG. 1B is a schematic flowchart of a signal processing method disclosed in an embodiment of the present application. Applied to a wearable device as shown in FIG. 1A , the wearable device is worn on the user's head, and the signal processing method includes the following steps.

101. Obtain the target mood type of the user.

Among them, in the embodiment of the present application, the mood type may include but not limited to: happy, sad, depressed, angry, frustrated, disappointed, etc. In specific implementation, the wearable device can be equipped with a sensor, and the sensor is at least one of the following: brain wave Sensors, muscle sensors, heart rate sensors, ultrasonic sensors, photoelectric sensors, etc., obtain sensor data through sensors, and analyze the sensor data to obtain the user's target mood type.

Optionally, the above step 101, obtaining the user's target mood type, may include the following steps:

A11. Collecting the brain wave signal of the user;

A12. Determine the target mood type according to the brain wave signal.

Wherein, the brain wave sensor is used to collect the user's brain wave signal, and further, the brain wave signal can be analyzed to obtain the user's target mood type.

Specifically, the above-mentioned step A12, determining the target mood type according to the brain wave signal, may include the following steps:

A121. Preprocessing the brain wave signal to obtain a reference brain wave signal;

A122. Sampling and quantizing the reference brainwave signal to obtain a discrete brainwave signal;

A123. Determine multiple extreme points of the discrete brain wave signal;

A124, using the mean square error of the plurality of extreme points as a reference mood value;

A125. According to the preset mapping relationship between mood values and mood types, determine the target mood type corresponding to the reference mood value.

Wherein, the above-mentioned preprocessing can be at least one of the following: signal amplification, filtering (low-pass filtering, high-pass filtering, band-pass filtering, etc.), signal separation (for example, the brain wave signals of multiple users, and separating the brain wave signals of a specified user) signal) and so on. Wearable devices can obtain reference brain wave signals after preprocessing the brain wave signals, sample and quantify the reference brain wave signals, and obtain discrete brain wave signals. Sampling and quantization can reduce the amount of data and improve analysis efficiency. Extract multiple extreme points of the discrete brain wave signal. The extreme points can include maximum and minimum values, and the mean square error of multiple extreme points can be determined. The mean square error shows the user's mood swings to a certain extent, so , using the mean square error as the reference mood value, the wearable device can pre-store the mapping relationship between the mood value and the mood type, and then, according to the mapping relationship, the target mood type corresponding to the reference mood value can be determined.

Using an example, the following describes in detail how to obtain the reference mood value.

Assuming that there are the following 5 extreme points A, B, C, D and E, then the average value of the 5 extreme points Can be:

Furthermore, the mean square error σ of the above extreme points can be obtained.

It should be noted that the mean square error σ obtained above can be used as a reference mood value.

The mapping relationship between mood values and mood types will be described in detail below in conjunction with Table 1. As shown in Table 1.

Table 1

mood value mood type a≤σ≤b Happy c≤σ≤d sad e≤σ≤f depressed g≤σ≤h angry i≤σ≤j depressed k≤σ≤l disappointment

Among them, σ represents the emotional value, b, c, d, e, f, g, h, i, k, l are all constants, and b≤c, d≤e, f≤g, h≤i, and j≤ k. For example, when a≤σ≤b, it is determined that the mood type corresponding to the brain wave signal of the user at this time is happy.

Optionally, the above step 101, obtaining the user's target mood type, may include the following steps:

B11. Obtain the target facial muscle movement parameters of the user;

B12. According to the preset mapping relationship between facial muscle movement parameters and mood types, determine the target mood type corresponding to the target facial muscle movement parameters.

Wherein, the muscle sensor can be used to detect facial muscle movement parameters, so that the user's target facial muscle movement parameters can be acquired through the muscle sensor.

Optionally, the above-mentioned facial muscle movement parameters may include at least one of the following: overall facial muscle movement parameters, nerve movement parameters, nose muscle movement parameters, eye muscle movement parameters, etc. Of course, other facial muscle movement parameters are also included in this Within the protection scope of the application, no further details are given here.

Optionally, the overall facial muscle movement parameters may include facial expressions. Specifically, by collecting the muscle movement parameters, the user's expression is analyzed through the muscle movement parameters. For another example, the muscle movement parameters may also include at least one of the following: muscle movement direction, Muscle movement parts (for example, eye muscles, lip muscles, throat muscles, ear muscles, etc.), muscle movement range, etc.

Optionally, the neural movement parameters may include at least one of the following: neuron type (for example, speech type, action type, etc.), neuron movement activity (for example, the user's brain waves can be collected and reflected by brain wave energy), Neuronal motor areas (eg, left brain motor, right brain motor, etc.).

Optionally, the eye muscle movement parameters can be at least one of the following: blink movement parameters (monocular movement parameters, binocular movement parameters), eye movement parameters (monocular movement parameters, binocular movement parameters), and the blink movement parameters can specifically be : Number of blinks, blinking range (for example, closing eyes and squinting, the blinking range between the two is different), eye movement parameters can be specifically: eyeball left and right movement, eyeball up and down movement, eyeball wandering movement (for example, eyeball up and down back and forth or side to side eye movement, etc.), eye rolling, etc.

Optionally, the nasal muscle motion parameter may be at least one of the following: breathing motion parameters, nasal motion direction (leftward, rightward), nasal motion (for example, nose shrugging), and the like. The breath motion parameter may include at least one of the following: number of breaths, breath frequency, breath amplitude (for example, shallow breaths are different from deep breaths), and the like.

102. When the target mood type satisfies a preset mood type, determine a target radio wave parameter corresponding to the target mood type according to a preset mapping relationship between mood types and radio wave parameters.

Wherein, the aforementioned preset mood type may be set by the user, or, by default, the preset mood type may include at least one mood. The above radio wave parameters may include at least one of the following: wavelength, amplitude, period, frequency and so on. The wearable device can pre-store the mapping relationship between the preset mood type and the radio wave parameter, and then, the target radio wave parameter corresponding to the target mood type can be determined according to the mapping relationship.

103. Generate target electric waves corresponding to the target electric wave parameters, where the target electric waves are used to stimulate the user to adjust the mood of the user.

Among them, the wearable device may include a communication circuit, and then, the communication circuit generates target electric waves corresponding to the target electric wave parameters, and the target electric waves can be used to stimulate the user, mainly including stimulating the user's nerves or cerebral cortex to adjust the user's mood.

Optionally, between the above step 101 and step 103, the following steps may also be included:

C1. Determine the average energy value corresponding to the brain wave signal;

C2. Determine the target operating parameter corresponding to the average energy value according to the preset mapping relationship between the energy value and the operating parameter;

Then, the above step 103, generating the target electric wave corresponding to the target electric wave parameter, can be implemented in the following manner:

Work according to the target operating parameters to generate target electric waves corresponding to the target electric wave parameters.

Wherein, after the above-mentioned step A11, the above-mentioned steps C1-C2 can be performed, and the above-mentioned working parameters can include but not limited to: working current, working voltage, working power, working position, etc., the working current refers to how much current to generate the target electric wave, The working voltage refers to the voltage at which the target radio wave is generated, the working power refers to the power at which the target radio wave is generated, and the working position refers to the position through which the target radio wave contacts the user. In the specific implementation, the average energy value corresponding to the brain wave signal can be determined, and the mapping relationship between the preset energy value and the working parameters can be stored in the wearable device, and then, the target corresponding to the average energy value can be determined according to the mapping relationship Working parameters, in the process of executing the above step 103, you can work according to the target working parameters to generate target electric waves corresponding to the target electric wave parameters. In this way, you can get electric waves that are suitable for the user’s mood, and have better mood adjustment The effect is to improve the user experience.

Optionally, after the above-mentioned step 103 generates the target electric wave corresponding to the target electric wave parameter, the following steps may also be included:

D1. Determine the target recommended music corresponding to the target mood type according to the preset mapping relationship between the mood type and the recommended music;

D2. Acquiring target environment parameters;

D3. According to the mapping relationship between the preset environmental parameters and the playback parameters, determine the target playback parameters corresponding to the target environment parameters;

D4. Play the target recommended music according to the target playback parameters.

Wherein, specifically, the above-mentioned sensors include an environmental sensor, which is used to obtain target environmental parameters, and the environmental sensor may be at least one of the following: a positioning sensor, a humidity sensor, a temperature sensor, an external sound detection sensor, and the like. A target environment parameter can be obtained through an environment sensor, and the target environment parameter may include at least one of the following: location, humidity, temperature, environment volume, and the like. The above-mentioned recommended music may include at least one of the following: singer (for example, singer A, singer B, etc.), song style (for example, light music, rock), song language (for example, Cantonese, Mandarin, English, etc.), etc., playing The parameter may include at least one of the following: volume, sound effect, and so on. In a specific implementation, the wearable device may pre-store a mapping relationship between a preset mood type and recommended music, and determine the target recommended music corresponding to the target mood type according to the mapping relationship. The wearable device can also pre-store the mapping relationship between the preset environmental parameters and playback parameters. After obtaining the target environment parameters, the target playback parameters corresponding to the target environment parameters can be determined according to the mapping relationship, and then, according to the target playback parameters. Play target recommended music. Through the embodiment of the present application, not only electric waves can be generated to stimulate the user, but also music can be played to better adjust the user's mood.

It can be seen that the signal processing method described in the above-mentioned embodiments of the present application is applied to a wearable device, which is worn on the user's head and acquires the user's target mood type. When the target mood type satisfies the preset mood type , according to the preset mapping relationship between the mood type and the electric wave parameter, determine the target electric wave parameter corresponding to the target mood type, generate the target electric wave corresponding to the target electric wave parameter, and the target electric wave is used to stimulate the user to adjust the user's mood, Thus, electric waves can be generated to adjust the user's mood.

Please refer to FIG. 2 . FIG. 2 is a schematic flowchart of a signal processing method disclosed in an embodiment of the present application. Applied to a wearable device as shown in FIG. 1A , the wearable device is worn on the user's head, and the signal processing method includes the following steps.

201. Collect brain wave signals of the user.

202. Determine the target mood type of the user according to the brainwave signal.

203. Determine an average energy value corresponding to the brain wave signal.

204. Determine a target operating parameter corresponding to the average energy value according to a preset mapping relationship between an energy value and an operating parameter.

205. When the target mood type satisfies the preset mood type, determine the target radio wave parameter corresponding to the target mood type according to the preset mapping relationship between the mood type and radio wave parameters.

206. Perform work according to the target operating parameters to generate target electric waves corresponding to the target electric wave parameters, and the target electric waves are used to stimulate the user to adjust the mood of the user.

It can be seen that the signal processing method described in the above embodiments of the present application is applied to wearable devices to collect the user's brain wave signal, determine the user's target mood type according to the brain wave signal, and determine the average energy value corresponding to the brain wave signal. According to the mapping relationship between the preset energy value and the working parameters, determine the target working parameters corresponding to the average energy value, and when the target mood type meets the preset mood type, according to the mapping relationship between the preset mood type and the radio wave parameters , determine the target electric wave parameters corresponding to the target mood type, and work according to the target working parameters to generate target electric waves corresponding to the target electric wave parameters. The target electric waves are used to stimulate the user to adjust the user's mood. Brain waves are used to determine the user's mood type, and then can generate electric waves suitable for the user's mood and brain waves to adjust the user's mood. In this way, not only can generate electric waves to stimulate the user, but also play music to better adjust the user's mood.

Please refer to FIG. 3. FIG. 3 is a schematic flowchart of a signal processing method disclosed in an embodiment of the present application, which is applied to a wearable device as shown in FIG. 1A. The wearable device is worn on the user's head. The signal processing method includes the following step.

301. Acquire the target mood type of the user.

302. When the target mood type satisfies a preset mood type, determine target radio wave parameters corresponding to the target mood type according to a preset mapping relationship between mood types and radio wave parameters.

303. Generate target electric waves corresponding to the target electric wave parameters, where the target electric waves are used to stimulate the user to adjust the mood of the user.

304. Determine the target recommended music corresponding to the target mood type according to the preset mapping relationship between the mood type and the recommended music.

305. Acquire target environment parameters.

306. Determine a target playback parameter corresponding to the target environment parameter according to the preset mapping relationship between the environment parameter and the playback parameter.

307. Play the target recommended music according to the target playback parameters.

It can be seen that the signal processing method described in the above-mentioned embodiments of the present application is applied to wearable devices to obtain the user's target mood type, and when the target mood type meets the preset mood type, according to the preset mood type and the radio wave parameter The mapping relationship between them, determine the target electric wave parameters corresponding to the target mood type, and generate the target electric wave corresponding to the target electric wave parameters. The target electric wave is used to stimulate the user to adjust the user's mood, according to the relationship between the preset mood type and the recommended music Mapping relationship, determine the target recommended music corresponding to the target mood type, obtain the target environment parameters, determine the target playback parameters corresponding to the target environment parameters according to the mapping relationship between the preset environment parameters and playback parameters, and play the target according to the target playback parameters Recommend music.

Please refer to FIG. 4. FIG. 4 is a schematic structural diagram of another wearable device disclosed in an embodiment of the present application. As shown in the figure, the wearable device includes a processor, a memory, a communication interface, and one or more programs, wherein, The above-mentioned one or more programs are stored in the above-mentioned memory and configured to be executed by the above-mentioned processor, the above-mentioned programs include instructions for performing the following steps:

Obtain the user's target mood type;

When the target mood type satisfies the preset mood type, according to the mapping relationship between the preset mood type and the radio wave parameter, determine the target radio wave parameter corresponding to the target mood type;

A target electric wave corresponding to the target electric wave parameter is generated, and the target electric wave is used to stimulate the user to adjust the mood of the user.

It can be seen that the above-mentioned wearable device described in the embodiment of the present application is worn on the user's head to obtain the user's target mood type, and when the target mood type satisfies the preset mood type, according to the preset mood type The mapping relationship between the type and the electric wave parameter determines the target electric wave parameter corresponding to the target mood type, generates the target electric wave corresponding to the target electric wave parameter, and the target electric wave is used to stimulate the user to adjust the user's mood, so that the electric wave can be generated, to adjust the user's mood.

In a possible example, in terms of acquiring the user's target mood type, the above program includes instructions for performing the following steps:

collecting the brain wave signal of the user;

The target mood type is determined according to the brain wave signal.

In one possible example, the above program also includes instructions for:

determining the average energy value corresponding to the brainwave signal;

According to the preset mapping relationship between the energy value and the working parameter, determine the target working parameter corresponding to the average energy value;

In terms of generating the target electric wave corresponding to the target electric wave parameter, the above program includes instructions for performing the following steps:

Work according to the target operating parameters to generate target electric waves corresponding to the target electric wave parameters.

In a possible example, in terms of acquiring the user's target mood type, the above program includes instructions for performing the following steps:

Obtain the user's target facial muscle movement parameters;

According to the preset mapping relationship between facial muscle movement parameters and mood types, the target mood type corresponding to the target facial muscle movement parameters is determined.

In a possible example, after generating the target electric wave corresponding to the target electric wave parameter, the above program further includes an instruction for performing the following steps:

According to the mapping relationship between preset mood types and recommended music, determine the target recommended music corresponding to the target mood type;

Obtain target environment parameters;

According to the mapping relationship between the preset environment parameters and the playback parameters, determine the target playback parameters corresponding to the target environment parameters;

Playing the target recommended music according to the target playing parameters.

The foregoing mainly introduces the solutions of the embodiments of the present application from the perspective of executing the process on the method side. It can be understood that, in order to realize the above-mentioned functions, the wearable device includes corresponding hardware structures and/or software modules for performing various functions. Those skilled in the art should easily realize that, in combination with the units and algorithm steps of the examples described in the embodiments provided herein, the present application can be implemented in the form of hardware or a combination of hardware and computer software. Whether a certain function is executed by hardware or computer software drives hardware depends on the specific application and design constraints of the technical solution. Skilled artisans may use different methods to implement the described functions for each specific application, but such implementation should not be regarded as exceeding the scope of the present application.

The embodiment of the present application can divide the functional units of the wearable device according to the above method example, for example, each functional unit can be divided corresponding to each function, or two or more functions can be integrated into one processing unit. The above-mentioned integrated units can be implemented in the form of hardware or in the form of software functional units. It should be noted that the division of units in the embodiment of the present application is schematic, and is only a logical function division, and there may be another division manner in actual implementation.

Please refer to FIG. 5. FIG. 5 is a schematic structural diagram of a signal processing device 500 disclosed in an embodiment of the present application, which is applied to a wearable device, and the wearable device is worn on the user's head. The signal processing device 500 includes a first The acquiring unit 501, the first determining unit 502 and the generating unit 503, wherein:

The first acquisition unit 501 is configured to acquire the user's target mood type;

The first determining unit 502 is configured to determine the target radio wave parameter corresponding to the target mood type according to the preset mapping relationship between the mood type and the radio wave parameter when the target mood type satisfies the preset mood type ;

The generating unit 503 is configured to generate target electric waves corresponding to the target electric wave parameters, and the target electric waves are used to stimulate the user to adjust the mood of the user.

It can be seen that the signal processing device described in the above embodiments of the present application is applied to a wearable device. The wearable device is worn on the user's head to obtain the user's target mood type. When the target mood type meets the preset mood type , according to the preset mapping relationship between the mood type and the electric wave parameter, determine the target electric wave parameter corresponding to the target mood type, generate the target electric wave corresponding to the target electric wave parameter, and the target electric wave is used to stimulate the user to adjust the user's mood, Thus, electric waves can be generated to adjust the user's mood.

In a possible example, in terms of acquiring the user's target mood type, the first acquiring unit 501 is specifically configured to:

collecting the brain wave signal of the user;

The target mood type is determined according to the brain wave signal.

In a possible example, as shown in FIG. 5B, FIG. 5B is another modified structure of the signal processing device described in FIG. 5A. Compared with FIG. 5A, it may further include a second determining unit 504, specifically as follows:

The second determining unit 504 is configured to determine an average energy value corresponding to the brain wave signal; and determine a target operating parameter corresponding to the average energy value according to a preset mapping relationship between an energy value and an operating parameter;

In terms of generating the target electric wave corresponding to the target electric wave parameter, the generating unit 503 is specifically configured to:

Work according to the target operating parameters to generate target electric waves corresponding to the target electric wave parameters.

In a possible example, in terms of acquiring the user's target mood type, the first acquiring unit 501 is specifically configured to:

Obtain the user's target facial muscle movement parameters;

According to the preset mapping relationship between facial muscle movement parameters and mood types, the target mood type corresponding to the target facial muscle movement parameters is determined.

In a possible example, as shown in FIG. 5C, FIG. 5C is another modified structure of the signal processing device described in FIG. 5A. Compared with FIG. 5A, it may further include: a third determination unit 505, a second acquisition unit 506 And playback unit 507, specifically as follows:

The third determination unit 505 is configured to determine the target mood type according to the preset mapping relationship between the mood type and recommended music after the generating unit 503 generates the target radio wave corresponding to the target radio wave parameter The corresponding target recommends music;

The second acquiring unit 506 is configured to acquire target environment parameters;

The third determining unit 505 is also specifically configured to determine the target playback parameter corresponding to the target environment parameter according to the preset mapping relationship between the environmental parameter and the playback parameter;

The playing unit 507 is configured to play the target recommended music according to the target playing parameters.

An embodiment of the present application also provides a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, and the computer program enables the computer to execute some or all of the steps of any method described in the above method embodiments , the above computer includes a wearable device.

An embodiment of the present application also provides a computer program product, the computer program product includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to enable the computer to execute any one of the methods described in the above method embodiments. Some or all steps of the method. The computer program product may be a software installation package, and the above computer includes a wearable device.

It should be noted that for the foregoing method embodiments, for the sake of simple description, they are expressed as a series of action combinations, but those skilled in the art should know that the present application is not limited by the described action sequence. Depending on the application, certain steps may be performed in other orders or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification belong to preferred embodiments, and the actions and modules involved are not necessarily required by this application.

In the foregoing embodiments, the descriptions of each embodiment have their own emphases, and for parts not described in detail in a certain embodiment, reference may be made to relevant descriptions of other embodiments.

In the several embodiments provided in this application, it should be understood that the disclosed device can be implemented in other ways. For example, the device embodiments described above are only illustrative. For example, the division of the above units is only a logical function division. In actual implementation, there may be other division methods, for example, multiple units or components can be combined or integrated. to another system, or some features may be ignored, or not implemented. In another point, the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces, and the indirect coupling or communication connection of devices or units may be in electrical or other forms.

The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, each unit may exist separately physically, or two or more units may be integrated into one unit. The above-mentioned integrated units can be implemented in the form of hardware or in the form of software functional units.

If the above-mentioned integrated units are realized in the form of software function units and sold or used as independent products, they can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application is essentially or part of the contribution to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a memory. Several instructions are included to make a computer device (which may be a personal computer, server or network device, etc.) execute all or part of the steps of the above-mentioned methods in various embodiments of the present application. The aforementioned memory includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes.

Those of ordinary skill in the art can understand that all or part of the steps in the various methods of the above-mentioned embodiments can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable memory, and the memory can include: a flash disk , Read-only memory (English: Read-Only Memory, abbreviated: ROM), random access device (English: Random Access Memory, abbreviated: RAM), magnetic disk or optical disk, etc.

The embodiments of the present application have been introduced in detail above, and specific examples have been used in this paper to illustrate the principles and implementation methods of the present application. The descriptions of the above embodiments are only used to help understand the methods and core ideas of the present application; meanwhile, for Those skilled in the art will have changes in specific implementation methods and application ranges based on the ideas of the present application. In summary, the contents of this specification should not be construed as limiting the present application.

Claims (13)

1. a kind of wearable device, which is characterized in that the wearable device is worn on user's head, the wearable device packet Storage and processing circuit is included, and the telecommunication circuit and sensor being connect with the storage and processing circuit, wherein

The sensor, the target profile of mood state for obtaining user；

The storage and processing circuit is used for when the target profile of mood state meets and presets profile of mood state, according to the preset heart Mapping relations between feelings type and electrical wave parameters determine target electrical wave parameters corresponding with the target profile of mood state；

The telecommunication circuit, for generating target electric wave corresponding with the target electrical wave parameters, the target electric wave is for piercing User is swashed, to adjust the mood of the user.

2. wearable device according to claim 1, which is characterized in that in the target profile of mood state side for obtaining user Face, the sensor are specifically used for：

Acquire the eeg signal of the user；

The target profile of mood state is determined according to the eeg signal.

3. wearable device according to claim 2, which is characterized in that the storage and processing circuit also particularly useful for：

Determine the corresponding the average energy value of the eeg signal；And according to reflecting between preset energy value and running parameter Relationship is penetrated, determines the corresponding target operating parameters of described the average energy value；

In terms of generation target electric wave corresponding with the target electrical wave parameters, the telecommunication circuit is specifically used for：

It works according to the target operating parameters, to generate target electric wave corresponding with the target electrical wave parameters.

4. wearable device according to claim 1, which is characterized in that in the target profile of mood state side for obtaining user Face, the sensor are specifically used for：

Obtain the target face muscular movement parameter of user；

According to the mapping relations between preset facial muscle movements parameter and profile of mood state, the target face muscle fortune is determined The corresponding target profile of mood state of dynamic parameter.

5. according to claim 1-4 any one of them wearable devices, which is characterized in that the wearable device further includes sound Frequency component；

The storage and processing circuit generates mesh corresponding with the target electrical wave parameters also particularly useful in the telecommunication circuit After marking electric wave, according to preset profile of mood state and recommends the mapping relations between music, determine the target profile of mood state pair The target answered recommends music；

The sensor also particularly useful for：Obtain target environment parameter；

The storage and processing circuit, also particularly useful for：

According to the mapping relations between preset environmental parameter and play parameter, the corresponding target of the target environment parameter is determined Play parameter；

The audio component is specifically used for playing the target recommendation music according to the target play parameter.

6. a kind of signal processing method, which is characterized in that be applied to wearable device, the wearable device, which is worn on, uses account Portion, the method includes：

Obtain the target profile of mood state of user；

When the target profile of mood state meets and presets profile of mood state, according to reflecting between preset profile of mood state and electrical wave parameters Relationship is penetrated, determines target electrical wave parameters corresponding with the target profile of mood state；

Target electric wave corresponding with the target electrical wave parameters is generated, the target electric wave is for stimulating user, described in adjustment The mood of user.

7. according to the method described in claim 6, it is characterized in that, it is described obtain user target profile of mood state, including：

Acquire the eeg signal of the user；

The target profile of mood state is determined according to the eeg signal.

8. the method according to the description of claim 7 is characterized in that the method further includes：

Determine the corresponding the average energy value of the eeg signal；

According to the mapping relations between preset energy value and running parameter, the corresponding target operation of described the average energy value is determined Parameter；

It is described to generate corresponding with target electrical wave parameters target electric wave, including：

It works according to the target operating parameters, to generate target electric wave corresponding with the target electrical wave parameters.

9. according to the method described in claim 6, it is characterized in that, it is described obtain user target profile of mood state, including：

Obtain the target face muscular movement parameter of user；

According to the mapping relations between preset facial muscle movements parameter and profile of mood state, the target face muscle fortune is determined The corresponding target profile of mood state of dynamic parameter.

10. according to claim 6-9 any one of them methods, which is characterized in that join with the target electric wave in the generation After the corresponding target electric wave of number, the method further includes：

According to preset profile of mood state and recommend the mapping relations between music, determines the corresponding target of the target profile of mood state Recommend music；

Obtain target environment parameter；

According to the mapping relations between preset environmental parameter and play parameter, the corresponding target of the target environment parameter is determined Play parameter；

The target, which is played, according to the target play parameter recommends music.

11. a kind of signal processing apparatus, which is characterized in that be applied to wearable device, the wearable device is worn on user Head, the signal processing apparatus include first acquisition unit, the first determination unit and generation unit, wherein：

The first acquisition unit, the target profile of mood state for obtaining user；

First determination unit is used for when the target profile of mood state meets and presets profile of mood state, according to preset mood Mapping relations between type and electrical wave parameters determine target electrical wave parameters corresponding with the target profile of mood state；

The generation unit, for generating target electric wave corresponding with the target electrical wave parameters, the target electric wave is for piercing User is swashed, to adjust the mood of the user.

12. a kind of wearable device, which is characterized in that including processor, memory, communication interface, and one or more journeys Sequence, one or more of programs are stored in the memory, and are configured to be executed by the processor, described program Include for executing the instruction such as the step in claim 6-10 any one of them methods.

13. a kind of computer readable storage medium, which is characterized in that computer program of the storage for electronic data interchange, In, the computer program makes computer execute such as claim 6-10 any one of them methods.