CN114847880A - Intelligent device and method for detecting sleep information - Google Patents

Abstract

The embodiment of the disclosure discloses an intelligent device and a method for detecting sleep information, wherein the intelligent device comprises: the first detection module is used for sending a human body detection signal for detecting whether a human body exists in the detection environment; if the human body exists and the human body is in a sleep state, acquiring an environment image comprising a human body image to determine the target position of the human body; the second detection module is used for sending a sleep detection signal for detecting sleep information to the target position so as to detect the sleep information of the user; the control module is used for determining whether a human body exists in the environment based on the human body detection signal; if the sleep state exists and the human body is determined to be in the sleep state, determining the initial position of the human body, and enabling the first detection module to collect an environment image; and determining the target position of the human body according to the environment image, driving a second detection module to emit a sleep detection signal, and determining sleep information based on the sleep detection signal. And sending a sleep detection signal to the human body after accurate positioning, so that the accuracy of a sleep information detection result is higher.

Description

Smart device and method for detecting sleep information

technical field

The present disclosure relates to the technical field of smart devices, and in particular, to a smart device and method for detecting sleep information.

Background technique

Sleep is very important for everyone. Poor sleep quality seriously affects the user's life and work.

In the related art, a wearable device can be used to detect sleep information, for example, a heartbeat detector device worn on the wrist can be used to detect a person's heartbeat frequency. Use the heartbeat frequency to analyze the user's sleep quality.

SUMMARY OF THE INVENTION

This disclosure section is provided to introduce concepts in a simplified form that are described in detail in the detailed description section that follows. This disclosure section is not intended to identify key features or essential features of the claimed technical solution, nor is it intended to be used to limit the scope of the claimed technical solution.

Embodiments of the present disclosure provide a smart device and method for detecting sleep information.

In a first aspect, an embodiment of the present disclosure provides a smart device for detecting sleep information, the smart device includes: a first detection module, a second detection module, and a control module; wherein the first detection module is configured to send out Detecting whether there is a human body detection signal in the environment; and if there is a human body, and the human body is in a sleeping state, collecting an environmental image including a human body image to determine the target position of the human body; the second detection module is used to send to the The target position sends a sleep detection signal for detecting sleep information to detect user sleep information; the control module is used to determine whether there is a human body in the environment based on the human body detection signal; if there is, determine whether the human body is in a sleep state; if It is determined that the human body is in a sleeping state, the initial position of the human body is determined, and the first detection module is controlled to collect an environmental image according to the initial position; the target position of the human body is determined according to the environmental image, and the second detection module is driven The sleep detection signal is transmitted to the target location, and sleep information of the subject is determined based on the sleep detection signal.

In a second aspect, an embodiment of the present disclosure provides a method for detecting sleep information, which is applied to the device for detecting sleep information in the first aspect. The method includes: in response to a human body detection signal sent according to the first detection module The environment feedback signal is detected, the existence of a human body in the environment is detected, and based on the environment feedback signal, it is determined whether the corresponding posture of the human body is a sleeping posture; in response to determining that the corresponding posture of the human body is a sleeping posture, the human body initial position; use the first detection module to collect an environmental image including the human body according to the initial position, and determine target position information that is convenient for detecting the sleep information of the object according to the environmental image; drive the second detection module to the The target position indicated by the target position information sends a sleep detection signal for detecting sleep information, receives a detection feedback signal of the sleep detection signal, and determines the sleep information of the object corresponding to the human body according to the detection feedback signal.

In the device and method for detecting sleep information provided by the embodiments of the present disclosure, by setting a first detection module, a second detection module, and a control module, the control module determines the user's initial position and target position from a signal generated by the first detection module, The sleep detection signal generated by the second detection module to the target position determines the user's sleep information; after accurate positioning, the sleep detection signal is sent to the human body, so that the accuracy of the sleep information detection result is high.

Description of drawings

The above and other features, advantages and aspects of various embodiments of the present disclosure will become more apparent when taken in conjunction with the accompanying drawings and with reference to the following detailed description. Throughout the drawings, the same or similar reference numbers refer to the same or similar elements. It should be understood that the drawings are schematic and that the originals and elements are not necessarily drawn to scale.

1 is a schematic structural diagram of a smart device for detecting sleep information according to the present disclosure;

2A is a schematic structural diagram of some embodiments of the first detection module shown in FIG. 1;

2B is a schematic structural diagram of some embodiments of the second detection module shown in FIG. 1;

FIG. 2C is a schematic structural diagram of some embodiments of the light source module shown in FIG. 1;

2D is a schematic structural diagram of some embodiments of the pose adjustment module shown in FIG. 1;

FIG. 3 is a schematic flowchart of some embodiments of methods for detecting sleep information according to the present disclosure.

Detailed ways

Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but rather are provided for the purpose of A more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are only for exemplary purposes, and are not intended to limit the protection scope of the present disclosure.

It should be understood that the various steps described in the method embodiments of the present disclosure may be performed in different orders and/or in parallel. Furthermore, method embodiments may include additional steps and/or omit performing the illustrated steps. The scope of the present disclosure is not limited in this regard.

As used herein, the term "including" and variations thereof are open-ended inclusions, ie, "including but not limited to". The term "based on" is "based at least in part on." The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". Relevant definitions of other terms will be given in the description below.

It should be noted that concepts such as "first" and "second" mentioned in the present disclosure are only used to distinguish different devices, modules or units, and are not used to limit the order of functions performed by these devices, modules or units or interdependence.

It should be noted that the modifications of "a" and "a plurality" mentioned in the present disclosure are illustrative rather than restrictive, and those skilled in the art should understand that unless the context clearly indicates otherwise, they should be understood as "one or a plurality of". multiple".

The names of messages or information exchanged between multiple devices in the embodiments of the present disclosure are only for illustrative purposes, and are not intended to limit the scope of these messages or information.

It should be noted that the embodiments of the present disclosure and the features of the embodiments may be combined with each other under the condition of no conflict.

Please refer to FIG. 1, which shows a schematic structural diagram of a smart device for detecting sleep information of the present disclosure. As shown in FIG. 1, the smart device for detecting sleep information includes: a first detection module 1, a The second detection module 12 and the control module 13 . The first detection module 11 is used to send a human body detection signal to detect whether there is a human body in the environment; and if there is a human body and the human body is in a sleeping state, collect an environment image including a human body image to determine the target position of the human body.

The first detection module 11 can not only send out a human body detection signal, but also collect an image of the environment. In some application scenarios, the above-mentioned first detection module 11 may integrate a human body detection sensor and an image collector (eg, a camera).

FIG. 2A shows a schematic structural diagram of some embodiments of the first detection module. As shown in FIG. 2A , the infrared sensor 111 may be a human body detection sensor. Infrared camera 112 may be an image collector.

The infrared sensor 111 can detect any object to emit infrared signals. Infrared sensors can detect human signals in low-light environments.

The infrared camera 112 is equipped with an infrared filter between the lens of the conventional camera and the CCD, the function of which is to allow infrared light in a certain band to pass through and absorb or reflect visible light and ultraviolet light. Since the human body can emit infrared rays, the infrared rays emitted by the human body can pass through the infrared filter and be incident on the CCD, thereby generating a human body image.

In practice, the above-mentioned first detection module 11 may send a human body detection signal to the environment in real time for detecting whether there is a human body in the environment. And receive the environmental feedback signal generated by the above-mentioned human body detection signal in real time. The above-mentioned control module 13 may acquire the above-mentioned environment feedback signal in real time from the above-mentioned first detection module 11 . Alternatively, the above-mentioned first detection module 11 may send the above-mentioned environment feedback signal to the above-mentioned control module 13 in real time. The control module 13 may determine whether there is a human body in the environment according to the above-mentioned environment feedback signal. The human body here can correspond to any user.

If it is determined that there is a human body in the environment, the control module 13 may determine the posture of the human body according to the environment feedback signal. And according to the posture of the human body to determine whether the human body is in a sleep state. As a schematic illustration, if it is determined from the above-mentioned environmental feedback signal that the human body is in a standing posture or a sitting posture, the human body is in a non-sleep state. If it is determined from the above environmental signal that the human body is in the posture of lying on a bed, it can be determined that the human body is in a sleeping state.

After determining that the human body is in a sleep state, the above-mentioned control module 13 may further determine the corresponding initial position of the human body. and send an image acquisition instruction to the first detection module 11 to instruct the first detection module 11 to acquire an image of the environment. The above-mentioned image acquisition instructions may include an initial position.

The first detection module 11 may collect an environment image according to the initial position of the human body determined by the above-mentioned environment feedback signal, and the collected environment image may include a human body image.

The first detection module 11 may send the collected environment image to the control module 13 . The above-mentioned control module 13 may determine the target position of the user according to the above-mentioned environment image.

Specifically, the above control module can determine the coordinate information of the human body in the room according to the position of the human body in the environment image.

Further, the above-mentioned coordinate information may include coordinate information corresponding to each part of the human body determined by the above-mentioned environment image. For example, the coordinate information of the human head, the coordinate information of the human chest, and so on. The above-mentioned target position may be, for example, the coordinate information of the head of the human body and the coordinate information of the chest of the human body. Each coordinate information may include the coordinates of a different point.

After determining the target position of the human body according to the above-mentioned environmental image, the control module 13 may send a start instruction to the second detection module 12 to drive the second detection module 12 to send a sleep detection signal to the above-mentioned target position.

The second detection module 12 is configured to send a sleep detection signal for detecting sleep information to the target location, so as to detect user sleep information.

After receiving the above-mentioned activation instruction, the second detection module 12 may determine the target position indicated by the above-mentioned activation instruction, and send the above-mentioned sleep detection signal for detecting sleep information to the above-mentioned target position.

In some application scenarios, the second detection module 12 may adjust its own posture according to the target position, so that the sleep detection signal sent out matches the target position.

The second detection module 12 may also receive a detection feedback signal generated by the above-mentioned sleep detection signal irradiated into the environment. The above-mentioned detection feedback signal is sent to the control module, so that the above-mentioned control module 13 can analyze the breathing and/or heartbeat information according to the above-mentioned different detection and feedback signals.

FIG. 2B shows a schematic structural diagram of some embodiments of the second detection module. As shown in FIG. 2B , the second detection module 12 may include a millimeter wave radar. The millimeter wave radar may include a transmitting unit and a receiving unit. The transmitting unit can send out millimeter wave detection signals. Usually millimeter wave refers to the 30-300GHz frequency domain (wavelength is 1-10mm). The wavelength of millimeter wave is between centimeter wave and light wave, so millimeter wave has the advantages of microwave guidance and photoelectric guidance. The principle of radar measuring human respiration/heartbeat is that human activities such as respiration and heartbeat will cause the ups and downs of the chest cavity, which in turn will cause changes in the radial distance between the radar and the measured human body. By measuring the change in this radial distance, the human breathing/heartbeat signal can be extracted.

The following description will be given by taking the analysis of breathing information as an example. In the first frame of the detection feedback signal, the first chest detection feedback sub-signal generated by the higher position of the chest caused by the inhalation state may be included. In the second frame of the detection feedback signal, the second chest detection feedback sub-signal is generated due to the lower position of the chest caused by the expiratory state. In the third frame of the detection feedback signal, a third chest detection feedback sub-signal generated by the higher position of the chest caused by the inhalation state may be included. The breathing time interval in the sleep state may be determined by the time interval between the first frame sounding feedback signal and the third frame sounding feedback signal. According to the multi-frame detection feedback signal, the breathing time interval during the sleep state of the human body can be continuously detected.

The above-mentioned second detection module 12 may include a millimeter wave radar.

Millimeter-wave radar can emit millimeter-wave signals. Millimeter-wave signals emitted by millimeter-wave radars can have specific expressions and waveform representations. Frequency and phase can be included in the above expressions. Since breathing and heartbeat are dynamic environments, when the above-mentioned millimeter-wave radar signal encounters a dynamic environment caused by the above-mentioned breathing and heartbeat, the above-mentioned dynamic information will be superimposed on the above-mentioned millimeter-wave signal. The dynamic information can be analyzed from the feedback signal, so as to analyze the breathing and/or heartbeat information of the human body, so as to determine the sleep information of the user.

In the smart device for detecting sleep information provided in this embodiment, a first detection module, a second detection module, and a control module are set. The second detection module determines the sleep information of the user from the sleep detection signal generated by the target position; after accurate positioning, the sleep detection signal is sent to the human body, so that the accuracy of the sleep information detection result is high.

In some optional implementations, the above-mentioned smart device for detecting sleep information further includes a light source module 14 and a pose adjustment module 15 . The pose adjustment module 15 and the light source module 14 are mechanically connected. For example, screw connection, snap connection, etc.

In some application scenarios, the above-mentioned light source module 14 may be disposed on the casing of the pose adjustment module.

The above-mentioned light source module 14 may emit light for providing illumination.

FIG. 2C shows a schematic structural diagram of some embodiments of a light source module. As shown in FIG. 2C , the ambient brightness detection subunit may include a brightness sensor. The brightness sensor can detect the brightness parameters of the environment. The light emitting subunit may comprise a semiconductor light source/cold cathode fluorescent lamp.

The pose adjustment module 15 is configured to adjust the pose of the light source module 14 according to the initial position, so that the adjusted pose of the light source module matches the initial position of the screen. The above-mentioned position and orientation of the light source module matches the initial position, which means that the illumination light emitted by the light source module points to or covers the initial position.

In these optional implementation manners, the illumination light is provided by the above-mentioned light source module, so that the environmental image collected by the above-mentioned first detection module is clearer, it is convenient to recognize the target position of the human body from the above-mentioned environmental image, and the accuracy of the recognized target position is improved. Accuracy.

In addition, the above-mentioned pose adjustment module 14 includes a drive unit that adjusts the position of the light-emitting subunit in at least two degrees of freedom.

That is, the above-mentioned pose adjustment module 14 can adjust the pose of the light source module in at least two degrees of freedom.

In some application scenarios, the above-mentioned pose adjustment module 14 can adjust the pose of the light source module in 6 degrees of freedom.

The above 6 degrees of freedom include: yaw, pitch, roll, forward/backward, up/down and left/right.

The above-mentioned pose adjustment module may include at least one drive motor and at least one transmission structure. Under the cooperation of the at least one driving motor and the at least one transmission structure, the position and attitude adjustment module can drive the light source module to adjust the position and attitude.

The structure of some embodiments of the pose adjustment module as shown in FIG. 2D includes a 6-axis motor. Driven by the 6-axis motor, the pose adjustment module can adjust the position of the light-emitting subunit in 6 degrees of freedom.

By arranging the pose adjustment module in the above-mentioned smart device, the pose of the light source module can be automatically adjusted, so that illumination can be provided within a larger angular span. It is convenient to provide a better lighting effect for the first detection module.

In some optional implementations, the light source module includes an ambient brightness detection sub-unit and a light-emitting sub-unit. The ambient brightness detection subunit is used to detect ambient brightness. The light-emitting subunit is used for receiving the light-emitting parameters adjusted by the ambient brightness, and emitting illumination light matching the light-emitting parameters.

In these optional implementation manners, the above-mentioned ambient brightness detection subunit may include an ambient brightness sensing sensor. The ambient brightness sensing sensor can detect ambient brightness.

The above-mentioned light source module can adjust the light-emitting parameters according to the above-mentioned ambient brightness, and emit illumination light that matches the above-mentioned light-emitting parameters.

The above-mentioned luminous parameters include luminous intensity, color temperature, and the like.

The light-emitting parameters corresponding to different ambient brightnesses can be preset in the above-mentioned light source module. When it is detected that the ambient brightness does not match the current lighting parameters, a target lighting parameter matching the current ambient brightness can be determined according to the detected current ambient brightness, and the lighting parameters are adjusted to the above target lighting parameters.

In these optional implementation manners, by adjusting the lighting parameters of the light source module according to the ambient brightness, the light emitted by the light source module is automatically adapted to the ambient brightness. On the one hand, it can provide illumination for the first detection module 11 , and on the other hand, it can avoid the user's discomfort caused by the incompatibility of the emitted light with the environment.

In some optional implementations, the above-mentioned pose adjustment module 15 is further configured to: adjust the position of the second detection module 12 so that the detection signal sent by the second detection module 12 matches the above-mentioned target position.

The above-mentioned adjusting the position of the second detection unit module may include adjusting the position of the second unit module in a vertical direction and/or a lateral direction.

In these optional implementation manners, by adjusting the position of the second detection module, the detection signal sent by the second detection module can be better aligned with the target position, so as to ensure the accuracy of the detection result.

In some optional implementations, the first detection module 11 includes a human body detection subunit (such as an infrared sensor in FIG. 2A ) and an image acquisition subunit (such as an infrared camera in FIG. 2 ).

The human body detection subunit is used to send out an environment detection signal used to detect whether there is a human body in the environment, and receive an environment feedback signal of the environment detection signal; send the environment feedback signal to the control module; receive the environmental feedback signal sent by the control module The image acquisition instruction is generated by the control module determining from the environmental feedback signal that there is a human body in the environment and the human body is in a sleeping state, and the image acquisition instruction includes the initial value of the human body determined by the environmental feedback signal. Location.

The image acquisition subunit is configured to acquire an environmental image including the human body image according to the initial position indicated by the image acquisition instruction, and send the environmental image to the control module, so that the control module can make the The environment image can determine the target position corresponding to the human body.

The human body detection subunit includes an infrared sensor, and the environment detection signal includes an infrared detection signal.

The above-mentioned smart device for detecting sleep information may be various electronic devices installed in a room. The above-mentioned smart device for detecting sleep information may include a desk lamp.

Please refer to FIG. 3 , which shows a method for detecting sleep information provided by the present disclosure, which is applied to the smart device for detecting sleep information as shown in FIG. 1 . As shown in Figure 3, the method includes the following steps.

Step 301 , in response to an environment feedback signal according to a human body detection signal sent by the first detection module, it is detected that a human body exists in the environment, and based on the environment feedback signal, it is determined whether the corresponding posture of the human body is a sleeping posture.

Step 302, in response to determining that the corresponding posture of the human body is a sleeping posture, determine an initial position of the human body according to the environmental feedback signal.

Step 303, using an image acquisition subunit to acquire an environment image including the human body according to the initial position, and to determine, according to the environment image, target location information that is convenient for detecting sleep information of the object;

The execution subject of the above method for detecting sleep information may be a control module of a smart device for detecting sleep information.

The above-mentioned first detection module may send a human body detection signal for detecting human body to the environment in real time or every preset time period. And receive the human body detection signal and transmit it into the environment, and the object and/or human body in the environment reflect the human body detection signal to generate an environment feedback signal.

The above-mentioned first detection module may send the above-mentioned environment feedback signal to the above-mentioned executive body in real time.

The above-mentioned executive body may analyze and process the above-mentioned environment feedback signal to determine whether there is a human body in the environment.

If it is detected that there is a human body in the environment, the human body posture information can be continuously extracted from the above-mentioned environment feedback signal. to determine whether the human body is sleeping.

If it is determined that the human body is in a sleep state, the initial position of the human body can be determined according to the above-mentioned environmental feedback information including object information and human body information. The initial position here can be a relatively rough position estimation result.

After the above-mentioned initial position is determined, the above-mentioned executive body may issue an image acquisition instruction to the first detection module. The above-mentioned image acquisition instruction includes the above-mentioned initial position information.

After receiving the image acquisition instruction, the first detection module may adjust the pose of the image acquisition subunit according to the instruction, so that the environmental image acquired by the image acquisition subunit includes a human body image.

The above-mentioned first detection module may send the above-mentioned environment image to the above-mentioned execution subject. The above-mentioned execution subject may determine the target position information of the human body according to the above-mentioned environment image. The target position indicated by the target position information here may be a position for detecting sleep information.

Step 304: Drive the second detection module to transmit a sleep detection signal for detecting sleep information to the target position indicated by the target position information; receive a detection feedback signal of the sleep detection signal, and determine the sleep detection signal according to the detection feedback signal. Sleep information of the object corresponding to the human body.

After the target location information is determined, the execution body may send a driving instruction to the second detection module, so as to drive the second detection module to emit a sleep detection signal. The above-mentioned sleep detection signal may cover the above-mentioned target position.

The second detection module further receives a detection feedback signal generated by the sleep detection signal. and send the above-mentioned sounding feedback signal to the above-mentioned executive body.

The above-mentioned executive body may analyze the sleep information of the object corresponding to the human body according to the above-mentioned detection feedback signal.

The above sleep information includes but is not limited to one of the following: breathing information, heartbeat information.

For the process of determining the sleep information of the object corresponding to the human body, reference may be made to the description of the intelligent device for detecting sleep information, which will not be repeated here.

In the method for detecting sleep information provided by this embodiment, the initial position and target position of the user are determined by the signal generated by the first detection module, and the detection feedback signal generated by the sleep detection signal is sent by the second detection module to the target position. The sleep information of the user is determined; the sleep detection signal is sent to the human body after accurate positioning, so that the accuracy of the sleep information detection result is high.

In some optional implementations, the smart device for detecting sleep information further includes a light source module; and before using the first detection module in step 303 to collect an image of the environment including the human body according to the initial position, use The method for detecting sleep information also includes:

First, the light-emitting parameters of the light source module are determined according to the ambient brightness parameters detected by the light source module.

Secondly, the light source module is controlled to emit light according to the lighting parameters.

In these optional implementation manners, the ambient brightness parameter may be detected by the above-mentioned light source module. And the above-mentioned executive body determines the light-emitting parameters of the light source module.

In these optional implementation manners, the above-mentioned execution body determines the lighting parameters for lighting, and controls the light source module to emit light according to the above-mentioned lighting parameters, which is beneficial to ensure the consistency between the lighting timing of the light source module and the required timing.

In some application scenarios, the above-mentioned light source module may include an ambient brightness detection sub-unit and a light-emitting sub-unit. The environmental brightness detection subunit can detect and monitor the environmental brightness parameters, and determine the light-emitting parameters according to the environmental brightness parameters. The light source module can drive the light-emitting subunit to emit illumination light according to the light-emitting parameters.

The illumination is provided by the light source module, so that when the first detection module collects an image, sufficient brightness can be used to ensure that the collected environmental image has better clarity, so that the accuracy of the analysis result can be improved.

In some optional implementations, the above-mentioned method for detecting sleep information further includes the following steps:

In response to detecting that the position of the human body moves, adjust the pose of the second detection module to the second pose according to the updated position to which the human body moves, so that the second detection module is in the second pose match the update location.

In these optional implementation manners, the above-mentioned adjusting and adjusting the pose of the second detection module to the second pose includes adjusting the position of the second detection module in the vertical direction and/or the horizontal direction, and also includes adjusting the above-mentioned first 2. The angle of the detection module.

The above-mentioned adjustment of the posture of the second detection module to the second posture can be realized by the posture adjustment module provided in the smart device for detecting sleep information, or by the above-mentioned second detection module itself.

In these optional implementation manners, the movement of the position of the human body may be determined by using the environment feedback signal generated by the human body detection signal of the first detection unit and the environment image collected by the first detection module.

After the position of the human body moves, by adjusting the pose of the second detection module, the second detection module can adjust the pose for collecting sleep information along with the change of the position of the human body. Realize uninterrupted sleep information collection.

In some optional implementations, the smart device for detecting sleep information further includes a light source module, and the method further includes:

The pose of the light source module is adjusted to a third pose, so that the illumination light emitted by the light source module matches the updated position.

In these optional implementation manners, the above-mentioned realization of the pose adjustment of the light source module may be realized by the pose adjustment module.

By adjusting the pose of the light source module with the change of the position of the human body, the light source module can better provide illumination for the human body, so that the detection feedback signal received by the second detection module is relatively clear.

The above description is merely a preferred embodiment of the present disclosure and an illustration of the technical principles employed. Those skilled in the art should understand that the scope of the disclosure involved in the present disclosure is not limited to the technical solutions formed by the specific combination of the above-mentioned technical features, and should also cover, without departing from the above-mentioned disclosed concept, the technical solutions formed by the above-mentioned technical features or Other technical solutions formed by any combination of its equivalent features. For example, a technical solution is formed by replacing the above features with the technical features disclosed in the present disclosure (but not limited to) with similar functions.

Additionally, although operations are depicted in a particular order, this should not be construed as requiring that the operations be performed in the particular order shown or in a sequential order. Under certain circumstances, multitasking and parallel processing may be advantageous. Likewise, although the above discussion contains several implementation-specific details, these should not be construed as limitations on the scope of the present disclosure. Certain features that are described in the context of separate embodiments can also be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment can also be implemented in multiple embodiments separately or in any suitable subcombination.

Although the subject matter has been described in language specific to structural features and/or logical acts of method, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are merely example forms of implementing the claims.

Claims (15)

1. A smart device for detecting sleep information, comprising: the device comprises a first detection module, a second detection module and a control module; wherein

The first detection module is used for sending a human body detection signal for detecting whether a human body exists in the detection environment; if the human body exists and the human body is in a sleep state, acquiring an environment image comprising a human body image so as to determine the target position of the human body;

the second detection module is used for sending a sleep detection signal for detecting sleep information to the target position so as to detect the sleep information of the user;

the control module is used for determining whether a human body exists in the environment based on the human body detection signal; if so, determining whether the human body is in a sleep state; if the human body is in the sleep state, determining an initial position of the human body, and controlling a first detection module to acquire an environment image comprising a human body image according to the initial position; and determining a target position of a human body according to the environment image, driving the second detection module to transmit the sleep detection signal to the target position, and determining sleep information of the object based on the sleep detection signal.

2. The smart device of claim 1, wherein the smart device further comprises a light source module and a pose adjustment module, the pose adjustment module being mechanically coupled to the light source module;

the pose adjusting module is used for adjusting the pose of the light source module according to the initial position so as to enable the adjusted pose of the light source module to be matched with the initial position;

the light source module is used for providing illumination light.

3. The smart device of claim 1, wherein the first detection module comprises a human detection subunit and an image acquisition subunit; wherein

The human body detection subunit is used for sending a human body detection signal for detecting whether a human body exists in the environment and receiving an environment feedback signal of the human body detection signal; sending the environment feedback signal to the control module; receiving an image acquisition instruction sent by a control module, wherein the control module determines that a human body exists in the environment according to the environment feedback signal and the human body is generated in a sleeping state, and the image acquisition instruction comprises an initial position of the human body determined according to the environment feedback signal;

the image acquisition subunit is configured to acquire an environment image including the human body image according to an initial position indicated by the image acquisition instruction, and send the environment image to the control module, so that the control module determines a target position corresponding to the human body according to the environment image.

4. The smart device of claim 3, wherein the human detection subunit includes an infrared sensor and the environment detection signal includes an infrared detection signal.

5. The smart device of claim 2, wherein the pose adjustment module comprises a drive unit that adjusts the position of the light emitting subunit in at least two degrees of freedom.

6. The smart device of claim 2, wherein the light source module comprises an ambient brightness detection subunit and a light emitting subunit; wherein,

the environment brightness detection subunit is used for detecting environment brightness;

and the light-emitting photon unit is used for receiving the light-emitting parameters adjusted by the ambient brightness and emitting the illumination light matched with the light-emitting parameters.

7. The smart device of claim 2, wherein the pose adjustment module is further to:

and adjusting the position of the second detection module to enable the detection signal sent by the second detection module to be matched with the target position.

8. The smart device of claim 1, wherein the smart device comprises a desk lamp.

9. An intelligent method for detecting sleep information is applied to an intelligent device, the intelligent device comprises a first detection module, a second detection module and a control module, and the method comprises the following steps:

responding to an environment feedback signal according to a human body detection signal sent by a first detection module, detecting that a human body exists in an environment, and determining whether the corresponding posture of the human body is a sleep posture or not based on the environment feedback signal;

in response to determining that the corresponding posture of the human body is a sleep posture, determining an initial position of the human body according to the environment feedback signal;

acquiring an environment image including the human body according to the initial position by using a first detection module, and determining target position information facilitating detection of sleep information of the subject according to the environment image;

and driving a second detection module to send a sleep detection signal for detecting sleep information to a target position indicated by the target position information, receiving a detection feedback signal of the sleep detection signal, and determining the sleep information of the object corresponding to the human body according to the detection feedback signal.

10. The method of claim 9, wherein the smart device for detecting sleep information further comprises a light source module; and

before the acquiring, with the first detection module, the environmental image including the human body from the initial position, the method further includes:

determining a light emitting parameter of the light source module according to the ambient brightness parameter detected by the light source module;

and controlling the light source module to emit light according to the light-emitting parameters.

11. The method according to claim 9 or 10, wherein prior to said acquiring with the first detection module an environmental image comprising the human body from the initial position, the method further comprises:

determining a first pose of the light source module according to the initial position;

and adjusting the pose of the light source module to the first pose, and simultaneously controlling the light source module to emit light rays for illumination.

12. The method of claim 9, wherein the method further comprises:

in response to detecting that the position of the human body moves, adjusting the pose of the second detection module to a second pose according to the updated position to which the human body moves, so that the second detection module is matched with the updated position in the second pose.

13. The method of claim 12, wherein the smart device for detecting sleep information further comprises a light source module, and the method further comprises:

and adjusting the pose of the light source module to a third pose so as to enable the illumination light rays emitted by the light source module to be matched with the updated position.

14. The method of claim 13, wherein the adjusting the pose of the light source module to a third pose comprises:

and adjusting the pose of the light source module to a third pose by using a position adjusting unit arranged in the intelligent device for detecting the sleep information.

15. The method of claim 9, wherein the sleep information comprises at least one of: respiratory information, heartbeat information.

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