CN114821992B - Water drinking reminding method and device, terminal equipment and computer readable storage medium - Google Patents
Water drinking reminding method and device, terminal equipment and computer readable storage medium Download PDFInfo
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- 230000035622 drinking Effects 0.000 title claims abstract description 347
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 title claims abstract description 291
- 238000000034 method Methods 0.000 title claims abstract description 76
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- 239000003651 drinking water Substances 0.000 claims abstract description 36
- 235000020188 drinking water Nutrition 0.000 claims abstract description 36
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/24—Reminder alarms, e.g. anti-loss alarms
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- A61B5/103—Measuring devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
- A61B5/1123—Discriminating type of movement, e.g. walking or running
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- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/42—Detecting, measuring or recording for evaluating the gastrointestinal, the endocrine or the exocrine systems
- A61B5/4261—Evaluating exocrine secretion production
- A61B5/4266—Evaluating exocrine secretion production sweat secretion
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/74—Details of notification to user or communication with user or patient; User input means
- A61B5/746—Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms
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Abstract
The invention discloses a drinking reminding method, a device, a terminal device and a computer readable storage medium, wherein the drinking reminding method is applied to intelligent wearable equipment and comprises the following steps: when the user using the intelligent wearable device is monitored to execute water drinking action, calculating the water drinking quantity of the user; determining the water demand of the user according to the motion data, physiological data and external environment data of the environment where the user is located; and outputting a drinking reminding to the user according to the drinking quantity and the water demand. The invention not only can automatically remind the user of drinking water, but also can remind the user of drinking water according to the actual drinking water condition of the user, thereby ensuring the accuracy of drinking water reminding and improving the intelligence of drinking water reminding.
Description
Technical Field
The present invention relates to the field of intelligent terminals, and in particular, to a method and apparatus for reminding drinking water, a terminal device, and a computer readable storage medium.
Background
Water is a living source and is involved in most of metabolic work in the human body, so that water has a very important influence on the health of the human body.
However, although people clearly drink water frequently, people forget to replenish water when busy, so that the water is deficient and various diseases are caused. There are some APP (Application program) and intelligent water cup for drinking water reminding, and although some APP and intelligent water cup can play a certain reminding role for drinking water of users, the user still needs to set the reminding content such as drinking water time and drinking water independently, and the whole use is very complicated and not intelligent enough.
To sum up, the existing technical means for performing drinking reminding needs very complicated setting operation and poor intelligence for users.
Disclosure of Invention
The invention mainly aims to provide a drinking reminding method, a device, terminal equipment and a computer readable storage medium, which aim to automatically monitor the drinking condition of a user to intelligently remind the user of drinking water.
In order to achieve the above object, the present invention provides a drinking reminding method, which is applied to an intelligent wearable device, and includes:
when the user using the intelligent wearable device is monitored to execute water drinking action, calculating the water drinking quantity of the user;
determining the water demand of the user according to the motion data, physiological data and external environment data of the environment where the user is located;
and outputting a drinking reminding to the user according to the drinking quantity and the water demand.
Optionally, the drinking reminding method further comprises the following steps:
receiving action data of the user, which are acquired in real time by each sensor in the intelligent wearable device;
and determining whether the user is monitored to execute the water drinking action or not according to the action data and a preset user action classification model.
Optionally, the step of calculating the drinking amount of the user includes:
and counting the duration of the user executing the water drinking action, and calculating the water drinking quantity of the user according to the duration.
Optionally, the movement data comprises a movement amount, the physiological data comprises an amount of perspiration and an age of the user, and the external environmental data comprises an environmental temperature;
the step of determining the water demand of the user according to the motion data, the physiological data and the external environment data of the environment of the user comprises the following steps:
and calculating the water demand of the user according to the ambient temperature, the quantity of motion of the user, the quantity of perspiration and the age.
Optionally, the step of outputting a drinking reminder to the user according to the drinking amount and the water demand includes:
detecting the size relation between the water drinking amount and the water demand amount;
and if the size relation is that the water drinking amount is smaller than the water demand amount, outputting the water drinking prompt to the user.
Optionally, the drinking reminding method further comprises the following steps:
recording the drinking time when the user executes the drinking action;
and outputting a drinking reminding to the user according to the drinking time and the drinking quantity.
Optionally, the step of outputting a drinking reminder to the user according to the drinking time and the drinking amount includes:
determining a preset drinking time period to which the drinking time belongs;
determining the water demand of the user in the preset water drinking time period according to the motion data and the physiological data of the user in the preset water drinking time period and the external environment data of the environment where the user is located;
detecting the size relation between the water drinking amount and the water demand of the user in the preset water drinking time period;
and if the size relation is that the water drinking amount is smaller than the water drinking amount of the user in the preset water drinking time period, outputting the water drinking prompt to the user in the preset ending time period of the preset water drinking time period.
In order to achieve the above object, the present invention further provides a drinking reminding device, which is applied to an intelligent wearable device, and the drinking reminding device includes:
the water drinking amount detection module is used for calculating the water drinking amount of the user when the user using the intelligent wearable device is monitored to execute water drinking action;
the water demand detection module is used for determining the water demand of the user according to the motion data, the physiological data and the external environment data of the environment where the user is located;
and the water drinking reminding module is used for outputting a water drinking reminding to the user according to the water drinking quantity and the water demand.
The steps of the drinking reminding method are realized when each functional module of the drinking reminding device is operated.
To achieve the above object, the present invention also provides a terminal device including: the drinking reminding device comprises a memory, a processor and a drinking reminding program which is stored in the memory and can run on the processor, wherein the drinking reminding program realizes the steps of the drinking reminding method when being executed by the processor.
In addition, in order to achieve the above object, the present invention also provides a computer readable storage medium, on which a drinking reminding program is stored, the drinking reminding program implementing the steps of the drinking reminding method as described above when being executed by a processor.
In the invention, in the process of drinking water reminding for a user through the intelligent wearable device, the intelligent wearable device monitors whether the user executes the drinking water action, and when yes, calculates the drinking water quantity of the user in the process of executing the drinking water action, and determines the water demand of the user according to the motion data, the physiological data and the external environment data of the environment where the user is positioned, so that the intelligent wearable device can correspondingly output the drinking water reminding to the user according to the drinking water quantity and the water demand.
Compared with the existing mode that the user performs tedious setting through the APP or the intelligent water cup to realize water drinking reminding, the intelligent wearable device automatically monitors water drinking actions of the user and calculates water drinking amount, and automatically calculates water demand of the user according to user motion data, physiological data and environment data, so that the user is reminded of drinking based on the water drinking amount and the water demand, the user does not need to perform cumbersome setting operation, cost burden brought by purchasing special intelligent water cup equipment is avoided, automatic water drinking reminding for the user is realized, water drinking reminding according to actual water drinking conditions of the user is realized, accuracy of water drinking reminding is ensured, and intelligence of water drinking reminding is improved.
Drawings
FIG. 1 is a flow chart of an embodiment of a drinking reminding method according to the present invention;
FIG. 2 is a schematic diagram of an application scenario according to an embodiment of the water drinking reminding method of the present invention;
FIG. 3 is a schematic diagram of another application scenario involved in an embodiment of the drinking reminding method according to the present invention;
fig. 4 is a schematic diagram of functional modules of a water drinking reminding device according to a preferred embodiment of the invention.
The achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
The embodiment of the invention provides an embodiment of a drinking reminding method.
Referring to fig. 1, fig. 1 is a flow chart of a first embodiment of a drinking reminding method according to the present invention. It should be noted that although a logical order is depicted in the flowchart, in some cases the steps depicted or described may be performed in a different order than presented herein.
In this embodiment, the drinking reminding method provided by the invention can be specifically applied to intelligent wearable devices such as headphones, a bracelet/a watch, glasses, and electronic earrings, and it should be understood that the intelligent wearable device can be any other product not listed here in different feasible application scenarios based on different design requirements of practical application, and the drinking reminding method is not limited to specific types of the intelligent wearable device. The drinking reminding method comprises the following steps:
step S10: when the user using the intelligent wearable device is monitored to execute water drinking action, calculating the water drinking quantity of the user;
in this embodiment, in the process of reminding the user of drinking water, the intelligent wearable device monitors whether the user performs the drinking water action, and when yes, calculates the drinking water amount of the user in the process of performing the drinking water action.
It should be noted that, in this embodiment, the intelligent wearable device determines, through a water drinking amount detection module configured by the intelligent wearable device, whether a user wearing the intelligent wearable device performs a water drinking action, and calculates a water drinking amount of the user in the whole process of the user performing the water drinking action.
For example, the intelligent wearable device forms a water drinking amount detection module by integrating a plurality of sensors in advance, and collects motion data of a user through the water drinking amount detection module to judge whether the user performs a water drinking action. Based on this, in some possible embodiments, the drinking reminding method of the present invention may further include:
step A, receiving action data of the user, which are acquired in real time by each sensor in the intelligent wearable equipment;
in this embodiment, the intelligent wearable device receives, through the built-in water drinking amount detection module, the motion data of the user acquired in real time by each sensor in the process of wearing the wearable device by the user.
It should be noted that, in this embodiment, in the process that the sensor wears the intelligent wearable device, the action data of the user acquired in real time includes, but is not limited to: the bone vibration signal generated by the up-and-down movement of the user's mandible can be transmitted to the vicinity of the organ tissue such as the ear and the eye, specifically through a plurality of surface paths of the user's body, particularly the user's head.
For example, as shown in an application scenario of fig. 2, it is assumed that a water drinking amount detection module built in the smart wearable device is specifically integrated on a bluetooth chip of the smart wearable device, and the water drinking amount detection module receives a bone vibration signal generated by up-down movement of a mandible of a user during wearing of the smart wearable device by the IMU inertial sensor and/or VPU bone vibration sensor through the IMU inertial sensor and/or VPU bone vibration sensor.
And step B, determining whether the user executes the water drinking action or not according to the action data and a preset user action classification model.
In this embodiment, after receiving the motion data of the user collected in real time by each sensor, the intelligent wearable device further determines whether the user is currently monitored to perform the water drinking motion based on the motion data by invoking a preset user motion classification model.
In this embodiment, please refer to an application scenario shown in fig. 3, the preset user action classification model is a neural network model that is obtained by training the neural network based on a deep learning method performed by extracting corresponding signal features from bone vibration signals generated by up-and-down movement of the jawbone when the user wears the intelligent wearable device, and then determining whether the user is performing the eating action, the drinking action or the brushing action based on the bone vibration signals generated by up-and-down movement of the jawbone.
For example, the intelligent wearable device stores in advance a neural network model, i.e. a user action classification model, which is trained to accurately determine whether the user is performing a eating action, drinking water action or brushing action based on a bone vibration signal generated by the user's mandible moving up and down, and then, when receiving the bone vibration signal generated by the IMU inertial sensor and/or VPU bone vibration sensor during the user wearing the intelligent wearable device, the intelligent wearable device immediately invokes the user action classification model from the local and inputs the bone vibration signal into the user action classification model for the user action classification model to output the result of the eating action, drinking water action or brushing action being performed by the user.
Further, in other possible embodiments, to further improve the accuracy of determining whether the user performs the water drinking action, the smart wearable device may further collect, through the water drinking amount detection module, a sound signal when the user performs the action while wearing the smart wearable device, so as to assist in determining whether the user performs the water drinking action at the current moment based on the sound signal.
For example, as well, the smart wearable device may collect, in advance, sound signals generated when the user wears the smart wearable device, and performs actions such as eating, drinking, brushing, and the like, based on the MIC microphone, and after extracting corresponding signal features from the sound signals, perform deep learning method training on the neural network based on the signal features to obtain a neural network model capable of accurately determining whether the user is performing the eating, drinking, or brushing actions based on the sound signals generated when the user performs the actions. After the intelligent wearable device collects the sound signals generated when the user performs the action, the trained neural network model can be called to determine whether the user performs the water drinking action.
It should be understood that, the above-mentioned intelligent wearable device utilizes the sound signal generated during the user executing action to assist in determining whether the user executes the water drinking action, and separately performs the deep learning method to train the neural network model to obtain the classification model according to the signal characteristics extracted from the sound signal, and based on the same concept, in other possible embodiments, the intelligent wearable device may perform the deep learning together to obtain the classification model according to the signal characteristics of the sound signal and the above-mentioned bone vibration signal, so that when it is actually determined whether the user executes the water drinking action, the collected bone vibration signal and the sound signal can be used as the input of the classification model at the same time to accurately determine whether the user is monitoring the water drinking action.
Further, in some possible embodiments, in the step S10, the step of calculating the drinking amount of the user may include:
step S101, counting the duration of the user executing the water drinking action, and calculating the water drinking amount of the user according to the duration.
In this embodiment, when the intelligent wearable device determines that the user is currently performing the water drinking action through the above-mentioned process, the duration of the water drinking action performed by the user is counted immediately, and then the water drinking amount of the user in the current water drinking action performing process can be calculated according to the predetermined algorithm for calculating the water drinking amount of the user and the duration.
Step S20, determining the water demand of the user according to the motion data, physiological data and external environment data of the environment where the user is located;
in this embodiment, in the process that the user wears the intelligent wearable device, the intelligent wearable device continuously calculates the motion data of the user through the motion quantity detection module configured internally, continuously monitors the physiological data of the user and the external environment data of the environment where the user is located through the water drinking quantity detection module configured internally, and then calculates and determines the water demand of the user according to the motion data, the physiological data and the external environment data.
Further, in some possible embodiments, the motion data of the user counted by the smart wearable device through the motion amount detection module includes: the amount of exercise, and this intelligent wearable equipment includes through the physiological data of the user that water demand detection module monitored: the perspiration amount and age of the user, and the external environment data of the environment in which the user is located include: ambient temperature. Based on this, the step S20 may specifically include:
step S201, calculating a water demand of the user according to the ambient temperature and the movement amount, the perspiration amount and the age of the user.
In this embodiment, after the amount of motion generated in the process of wearing the intelligent wearable device by the user is counted by the motion amount detection module, the perspiration amount and age of the user are collected by the water demand detection module, and the environmental temperature of the environment in which the user is located is collected, the water demand of the user is calculated by the water demand detection module directly based on the amount of motion, the perspiration amount and age, and the environmental temperature.
For example, please refer to an application scenario shown in fig. 2, the intelligent wearable device receives motion information such as the number of steps, the speed, the motion intensity and the like of different motion types such as running, walking, riding, push-up, pull-up and the like of the user acquired in the process of wearing the intelligent wearable device by the user through the motion amount detection module integrated on the internal bluetooth chip, and then calculates based on the motion information to obtain the motion amount of the user in the process of using the intelligent wearable device. Then, the intelligent wearable device synchronizes the motion quantity of the user counted by the motion quantity detection module to the water demand detection module integrated on the Bluetooth chip through the Bluetooth chip, so that the water demand of the user in the process of wearing the intelligent wearable device is calculated by the water demand detection module based on a predetermined algorithm according to the motion quantity, the received environmental temperature of the environment where the user is located and acquired by the temperature sensor, the received age information of the user and the sweat quantity of the user acquired by the sweat sensor.
It should be noted that, in this embodiment, the intelligent wearable device may also train to obtain the neural network model through the above-mentioned manner of training to obtain the user motion classification model to classify the user motion into different motions, and different motion types correspond to different motion intensities. It should be understood that, based on different design requirements of practical applications, in different possible embodiments, the intelligent terminal device may of course also count exercise information in different categories other than running, walking, riding, push-up, pull-up and other exercises listed in this embodiment, and the drinking reminding method of the present invention is not specifically limited to exercise categories that can be counted by the intelligent wearable device.
And step S30, outputting a drinking reminder to the user according to the drinking amount and the water demand.
In this embodiment, after calculating the water drinking amount and the water demand of the user wearing the intelligent wearable device, the intelligent wearable device further detects the size relationship between the water drinking amount and the water demand, so as to determine to output a corresponding water drinking reminder to the user in a voice or text manner based on the size relationship.
It should be noted that, in this embodiment, the drinking reminder output by the intelligent wearable upper device to the user may be a section of audio data for reminding the user to drink water, or the drinking reminder may be a section of text data for reminding the user to drink water, where the audio data and/or the text data may specifically indicate the drinking amount, the water requirement and/or the water requirement that should be continuously drunk to supplement body water, and the audio data and the text data may be output simultaneously or only one of them. The drinking reminding method is not limited to the specific content and the output mode of the audio data and the text data.
Further, in some possible embodiments, the step S30 may specifically include:
step S301, detecting the size relation between the water drinking amount and the water demand amount;
step S302, if the size relationship is that the water drinking amount is smaller than the water demand amount, outputting the water drinking reminder to the user.
In this embodiment, after the intelligent wearable device calculates the water drinking amount and the water demand of the user wearing the intelligent wearable device, the size relationship between the water drinking amount and the water demand is further detected, so that the intelligent wearable device outputs the water drinking prompt to the user through the configured speaker and/or display only when the size relationship is detected to be specifically that the water drinking amount is smaller than the water demand, so that the user can drink water timely and appropriately based on the water drinking prompt.
It should be noted that in this embodiment, when the size relationship between the water drinking amount and the water demand is detected as that the water drinking amount is equal to the water demand or the water drinking amount is greater than the water demand, the intelligent wearable device may choose not to output any prompt to the user, or choose to output a prompt that the corresponding current water drinking amount is suitable for the body water demand or the current water drinking amount is more, so that a proper amount of water drinking needs to be reduced.
In the embodiment, in the process of reminding the user of drinking water through the intelligent wearable device, the intelligent wearable device monitors whether the user executes the action of drinking water, and when yes, calculates the drinking water quantity of the user in the process of executing the action of drinking water. In addition, in the process that the intelligent wearable device is worn by a user to use the intelligent wearable device, the motion data of the user is continuously counted through the motion quantity detection module which is internally configured, physiological data of the user and external environment data of the environment where the user is located are continuously monitored through the water drinking quantity detection module which is internally configured, and then the intelligent wearable device calculates and determines the water demand of the user according to the motion data, the physiological data and the external environment data. Therefore, after the intelligent wearable device calculates the water drinking amount and the water demand of the user wearing the intelligent wearable device, the intelligent wearable device further detects the size relation between the water drinking amount and the water demand, so that the corresponding water drinking prompt is determined to be output to the user in a voice or text mode based on the size relation.
Compared with the existing mode that the user performs tedious setting through the APP or the intelligent water cup to realize water drinking reminding, the intelligent wearable device automatically monitors water drinking actions of the user and calculates water drinking amount, and automatically calculates water demand of the user according to user motion data, physiological data and environment data, so that the user is reminded of drinking based on the water drinking amount and the water demand, the user does not need to perform cumbersome setting operation, cost burden brought by purchasing special intelligent water cup equipment is avoided, automatic water drinking reminding for the user is realized, water drinking reminding according to actual water drinking conditions of the user is realized, accuracy of water drinking reminding is ensured, and intelligence of water drinking reminding is improved.
Further, based on the first embodiment of the drinking reminding method of the present invention, a third embodiment of the drinking reminding method of the present invention is provided.
In this embodiment, the drinking reminding method of the present invention may further include:
step C, recording the water drinking time when the user executes the water drinking action;
in this embodiment, when the smart wearable device determines that the user wearing the smart wearable device is performing the drinking action according to the process of the above embodiment, the time when the user is performing the drinking action is immediately recorded as the drinking time of the user.
And D, outputting a drinking reminding to the user according to the drinking time and the drinking quantity.
In this embodiment, after the drinking time of the user is recorded, the intelligent wearable device determines a preset drinking time period corresponding to the drinking time, and then outputs a corresponding drinking reminder to the user according to the magnitude relation between the drinking amount and the water demand of the user in the preset drinking time period.
It should be noted that, in this embodiment, the preset water drinking time period is a time period that is preset and set by the intelligent wearable device or set based on a user execution setting operation, and is used for monitoring the water demand of the user. It should be understood that, in different possible embodiments, the preset drinking time period may be set to different specific sizes based on the design requirement of practical application, and the drinking reminding method of the present invention is not limited to the specific size of the preset drinking time period.
Further, in some possible embodiments, the step D may specifically include:
step D1, determining a preset drinking time period to which the drinking time belongs;
in this embodiment, after recording the drinking time of the user, the intelligent wearable device determines a preset drinking time period corresponding to the drinking time.
For example, it is assumed that the smart wearable device sets a preset drinking time period to be two hours apart, that is, the smart wearable device sets every two hours from zero of each day as a preset drinking time period for detecting the drinking amount and the water demand of the user, and then, after determining that the drinking time of the user is monitored to be seven in the morning and recorded as five in the morning through the above process, the smart wearable device determines that the preset drinking time period to which the drinking time belongs is one time period from six in the morning to eight in the morning.
Step D2, determining the water demand of the user in the preset water drinking time period according to the motion data and the physiological data of the user in the preset water drinking time period and the external environment data of the environment where the user is located;
in this embodiment, after determining the preset drinking time period to which the drinking time of the user belongs, the intelligent wearable device calculates the water demand of the user within the preset drinking time period through the process of step S20, that is, the motion data of the user within the preset drinking time period is counted by the motion quantity detection module, and the water demand of the user within the preset drinking time period is calculated by the water demand detection module according to the physiological data of the user and the external environment data of the environment in which the user is located.
Step D3, detecting the size relation between the water drinking amount and the water demand of the user in the preset water drinking time period;
and D4, if the size relation is that the water drinking amount is smaller than the water drinking amount of the user in the preset water drinking time period, outputting the water drinking prompt to the user in the preset ending time period of the preset water drinking time period.
In this embodiment, after the user wearing the intelligent wearable device is calculated, the intelligent wearable device further detects the size relationship between the water drinking amount and the water demand after the water drinking amount and the water demand in the preset water drinking time period, so that the intelligent wearable device outputs the water drinking prompt to the user through the configured speaker and/or display only when detecting that the size relationship is that the water drinking amount is smaller than the water demand, and the user can timely and appropriately drink water based on the water drinking prompt.
It should be noted that, in this embodiment, the preset ending time period of the preset drinking time period may be specifically set for the smart wearable device independently or be set based on a setting operation performed by a user, for example, within ten minutes of the last preset drinking time period from six in the morning to eight in the morning, that is, the entire time period from fifty in the seventh in the morning to eight in the morning.
In this embodiment, when it is determined that the user wearing the intelligent wearable device is performing a water drinking action, the intelligent wearable device immediately records the time when the user is performing the water drinking action as the water drinking time of the user. Then, the intelligent wearable device determines a preset drinking time period corresponding to the drinking time, and then outputs a corresponding drinking prompt to the user according to the size relation between the drinking amount and the water demand of the user in the preset drinking time period.
Therefore, the invention further combines the time period to detect the water drinking amount and the water demand of the user, thereby reminding the user to drink water based on the size relation between the water drinking amount and the water demand of the user in the certain time period, and further improving the accuracy and the intelligence of reminding the user to drink water.
In addition, an embodiment of the present invention further provides a drinking reminding device, where the drinking reminding device is applied to an intelligent wearable device, please refer to fig. 4, and the drinking reminding device includes:
the water drinking amount detection module 10 is used for calculating the water drinking amount of the user when the user using the intelligent wearable device is monitored to execute water drinking action;
a water demand detection module 20, configured to determine a water demand of the user according to the movement data, physiological data, and external environment data of the environment in which the user is located;
and the drinking reminding module 30 is used for outputting drinking reminding to the user according to the water drinking quantity and the water demand.
Optionally, the drinking amount detection module 10 of the drinking reminding device of the present invention is further used for:
receiving action data of the user, which are acquired in real time by each sensor in the intelligent wearable device; and determining whether the user executes the water drinking action or not according to the action data and a preset user action classification model.
Optionally, the water drinking amount detection module 10 of the water drinking reminding device is further configured to count a duration of the user performing the water drinking action, and calculate the water drinking amount of the user according to the duration.
Optionally, the motion data includes: an amount of motion, the physiological data comprising: the user's perspiration and age, the external environmental data including: ambient temperature; the water demand detection module 20 of the drinking reminding device of the invention is also used for:
and calculating the water demand of the user according to the ambient temperature, the quantity of motion of the user, the quantity of perspiration and the age.
Optionally, the drinking reminding module 30 of the drinking reminding device is further used for detecting the size relationship between the drinking amount and the water demand; and if the size relation is that the water drinking amount is smaller than the water demand amount, outputting the water drinking prompt to the user.
Optionally, the drinking reminding module 30 of the drinking reminding device is further used for recording the drinking time when the user executes the drinking action; and outputting a drinking reminder to the user according to the drinking time and the drinking quantity.
Optionally, the drinking reminding module 30 of the drinking reminding device of the present invention is further configured to:
determining a preset drinking time period to which the drinking time belongs;
determining the water demand of the user in the preset water drinking time period according to the motion data and the physiological data of the user in the preset water drinking time period and the external environment data of the environment where the user is located;
detecting the size relation between the water drinking amount and the water demand of the user in the preset water drinking time period;
and if the size relation is that the water drinking amount is smaller than the water drinking amount of the user in the preset water drinking time period, outputting the water drinking prompt to the user in the preset ending time period of the preset water drinking time period.
The expansion content of the specific implementation mode of the drinking reminding device is basically the same as that of each embodiment of the drinking reminding method, and is not repeated here.
In addition, the embodiment of the invention also provides a terminal device, which comprises a structural shell, a communication module, a main control module (such as a micro control unit MCU), a loudspeaker, a microphone, a memory and the like. The main control module can comprise a microprocessor, an audio decoding unit, a power supply and power supply management unit, sensors and other active or passive devices required by the system and the like (can be replaced, deleted or added according to actual functions) so as to realize the functions of receiving and playing wireless audio.
The memory of the terminal equipment can store a drinking reminding program, and the drinking reminding program can be called by a microprocessor in the terminal equipment and executes the following operations:
when the user using the intelligent wearable device is monitored to execute water drinking action, calculating the water drinking quantity of the user;
determining the water demand of the user according to the motion data, physiological data and external environment data of the environment where the user is located;
and outputting a drinking reminding to the user according to the drinking quantity and the water demand.
Optionally, the drinking reminding program stored in the memory of the terminal device can be called by the microprocessor in the terminal device to further execute the following operations:
receiving action data of the user, which are acquired in real time by each sensor in the intelligent wearable device;
and determining whether the user is monitored to execute the water drinking action or not according to the action data and a preset user action classification model.
Optionally, the drinking reminding program stored in the memory of the terminal device can be called by the microprocessor in the terminal device to further execute the following operations:
and counting the duration of the user executing the water drinking action, and calculating the water drinking quantity of the user according to the duration.
Optionally, the motion data includes: an amount of motion, the physiological data comprising: the user's perspiration and age, the external environmental data including: ambient temperature;
the drinking reminding program which can be stored in the memory of the terminal equipment can be called by the microprocessor in the terminal equipment to further execute the following operations:
and calculating the water demand of the user according to the ambient temperature, the quantity of motion of the user, the quantity of perspiration and the age.
Optionally, the drinking reminding program stored in the memory of the terminal device can be called by the microprocessor in the terminal device to further execute the following operations:
detecting the size relation between the water drinking amount and the water demand amount;
and if the size relation is that the water drinking amount is smaller than the water demand amount, outputting the water drinking prompt to the user.
Optionally, the drinking reminding program stored in the memory of the terminal device can be called by the microprocessor in the terminal device to further execute the following operations:
recording the drinking time when the user executes the drinking action;
and outputting a drinking reminding to the user according to the drinking time and the drinking quantity.
Optionally, the drinking reminding program stored in the memory of the terminal device can be called by the microprocessor in the terminal device to further execute the following operations:
determining a preset drinking time period to which the drinking time belongs;
determining the water demand of the user in the preset water drinking time period according to the motion data and the physiological data of the user in the preset water drinking time period and the external environment data of the environment where the user is located;
detecting the size relation between the water drinking amount and the water demand of the user in the preset water drinking time period;
and if the size relation is that the water drinking amount is smaller than the water drinking amount of the user in the preset water drinking time period, outputting the water drinking prompt to the user in the preset ending time period of the preset water drinking time period.
In addition, the invention also provides a computer readable storage medium, wherein the computer readable storage medium is stored with a drinking reminding program, and the drinking reminding program realizes the steps of the drinking reminding method when being executed by a processor.
Embodiments of the terminal device and the computer readable storage medium of the present invention may refer to embodiments of the drinking reminding method of the present invention, and will not be described herein.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The foregoing embodiment numbers of the present invention are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) comprising instructions for causing a terminal device (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to perform the method according to the embodiments of the present invention.
The foregoing description is only of the preferred embodiments of the present invention, and is not intended to limit the scope of the invention, but rather is intended to cover any equivalents of the structures or equivalent processes disclosed herein or in the alternative, which may be employed directly or indirectly in other related arts.
Claims (10)
1. The drinking reminding method is characterized by being applied to intelligent wearable equipment and comprising the following steps of:
when the user using the intelligent wearable device is monitored to execute water drinking action, calculating the water drinking quantity of the user;
determining the water demand of the user according to the motion data, physiological data and external environment data of the environment where the user is located;
outputting a drinking reminder to the user according to the drinking amount and the water demand;
the judging method for the user to execute the water drinking action comprises the following steps:
deep learning is carried out on the basis of the signal characteristics of each of the sound signal and the bone vibration signal to obtain a classification model, wherein the sound signal and the bone vibration signal are respectively the sound signal and the bone vibration signal generated when a user performs actions in the process of wearing the intelligent wearable device;
when determining whether the user performs the water drinking action, the collected bone vibration signals and the collected sound signals are used as the input of the classification model at the same time, and whether the user performs the water drinking action is judged.
2. The water drinking reminding method according to claim 1, wherein the water drinking reminding method further comprises:
receiving action data of the user, which are acquired in real time by each sensor in the intelligent wearable device;
and determining whether the user is monitored to execute the water drinking action or not according to the action data and a preset user action classification model.
3. The drinking-reminding method according to claim 1, wherein the step of calculating the drinking amount of the user comprises:
and counting the duration of the user executing the water drinking action, and calculating the water drinking quantity of the user according to the duration.
4. The water consumption reminding method according to claim 1, wherein the exercise data includes an amount of exercise, the physiological data includes an amount of perspiration and an age of the user, and the external environment data includes an environment temperature;
the step of determining the water demand of the user according to the motion data, the physiological data and the external environment data of the environment of the user comprises the following steps:
and calculating the water demand of the user according to the ambient temperature, the quantity of motion of the user, the quantity of perspiration and the age.
5. The drinking water reminder method of claim 1, wherein the step of outputting a drinking water reminder to the user according to the amount of water consumed and the amount of water required includes:
detecting the size relation between the water drinking amount and the water demand amount;
and if the size relation is that the water drinking amount is smaller than the water demand amount, outputting the water drinking prompt to the user.
6. The drinking water reminding method according to any one of claims 1 to 5, wherein the drinking water reminding method further comprises:
recording the drinking time when the user executes the drinking action;
and outputting a drinking reminding to the user according to the drinking time and the drinking quantity.
7. The drinking water reminder method of claim 6 wherein the step of outputting a drinking water reminder to the user based on the drinking time and the drinking amount comprises:
determining a preset drinking time period to which the drinking time belongs;
determining the water demand of the user in the preset water drinking time period according to the motion data and the physiological data of the user in the preset water drinking time period and the external environment data of the environment where the user is located;
detecting the size relation between the water drinking amount and the water demand of the user in the preset water drinking time period;
and if the size relation is that the water drinking amount is smaller than the water drinking amount of the user in the preset water drinking time period, outputting the water drinking prompt to the user in the preset ending time period of the preset water drinking time period.
8. The utility model provides a reminding device drinks water, its characterized in that, the reminding device drinks water is applied to intelligent wearing formula equipment, the reminding device drinks water includes:
the water drinking amount detection module is used for calculating the water drinking amount of the user when the user using the intelligent wearable device is monitored to execute water drinking action;
the water demand detection module is used for determining the water demand of the user according to the motion data, the physiological data and the external environment data of the environment where the user is located;
the water drinking reminding module is used for outputting a water drinking reminding to the user according to the water drinking quantity and the water demand;
the drinking reminding device further comprises a drinking action judging module for:
deep learning is carried out on the basis of the signal characteristics of each of the sound signal and the bone vibration signal to obtain a classification model, wherein the sound signal and the bone vibration signal are respectively the sound signal and the bone vibration signal generated when a user performs actions in the process of wearing the intelligent wearable device;
when determining whether the user performs the water drinking action, the collected bone vibration signals and the collected sound signals are used as the input of the classification model at the same time, and whether the user performs the water drinking action is judged.
9. A terminal device, characterized in that the terminal device comprises: a memory, a processor and a drinking water reminder stored on the memory and operable on the processor, the drinking water reminder when executed by the processor implementing the steps of the drinking water reminder method of any one of claims 1 to 7.
10. A computer readable storage medium, wherein a drinking reminder program is stored on the computer readable storage medium, which when executed by a processor implements the steps of the drinking reminder method according to any one of claims 1 to 7.
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