CN116491944A - Mental state monitoring and evaluating system based on intelligent bracelet - Google Patents
Mental state monitoring and evaluating system based on intelligent bracelet Download PDFInfo
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- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
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Abstract
The invention discloses a mental state monitoring and evaluating system based on an intelligent bracelet, which belongs to the technical field of health monitoring and comprises an intelligent bracelet main body, a cloud server and third-party mobile equipment which are connected with each other, wherein: the intelligent bracelet main body comprises a data acquisition module, an emotion recognition module, a suggestion module and an interactive display module, wherein the data acquisition module acquires physiological data of a user and uploads the physiological data to the cloud server for analysis and processing, the emotion recognition module is matched with the suggestion module, and the emotion recognition module is used for recognizing the emotion of the user in real time. The psychological state monitoring and evaluating system based on the intelligent bracelet can detect user data in real time, analyze and infer the emotional state of the user, establish a model based on an intelligent algorithm, predict the psychological state of the user, evaluate the psychological health condition of the user more comprehensively, provide personalized intervention suggestions, and enable the user to manage the emotion of the user better and improve the psychological health level.
Description
Technical Field
The invention belongs to the technical field of health monitoring, and particularly relates to a psychological state monitoring and evaluating system based on an intelligent bracelet.
Background
The world health organization indicates in the latest reports that psychological problems lead to 12% of diseases worldwide. Furthermore, the report emphasizes that 46% of the diseases are directly related to depression. Thus, a healthy living need has a good and healthy mind, and mental health means that all aspects and activities of the mind are in a good or normal state, and an ideal state of mental health is a state of keeping good sexual condition, normal intelligence, correct cognition, proper emotion, reasonable mind, positive attitude, proper behavior and good adaptation.
The psychological health problem is influenced by both genetics and environment, especially the teaching and raising mode of the original family in the young period has great influence on the development of psychological health, and the psychological health is outstanding in social, production and life, can keep better communication or coordination with other people, and can well treat various situations in life.
However, psychological diseases have no obvious symptoms in the early stage of illness, the obvious symptoms are that the diseases reach a very serious degree, so that most people have no specific knowledge of the psychological health state of the people, and the prior art lacks a monitoring and evaluating system for assisting people in objectively learning the psychological health, mainly relying on subjective evaluation methods such as medical history, self-description of patients and clinical scales, so that it is very important to find an objective psychological state evaluation system capable of timely and objectively providing advice for users.
Therefore, we propose a mental state monitoring and evaluating system based on smart wristband to solve the above problems.
Disclosure of Invention
The invention aims to solve the problems in the prior art, and simultaneously can detect the data such as heart rate, blood oxygen, skin electric reaction, user voice, environmental voice and the like of a user in real time, analyze the data by utilizing a machine learning algorithm, deduce the emotional state of the user, establish a model based on an intelligent algorithm, predict the psychological state of the user, evaluate the psychological health condition of the user more comprehensively, provide personalized intervention advice, and enable the user to manage the emotion of the user better and improve the psychological health level.
In order to achieve the above purpose, the present invention adopts the following technical scheme:
the utility model provides a psychological state monitoring evaluation system based on intelligent bracelet, includes interconnect's intelligent bracelet main part, cloud ware and third party mobile device, wherein:
the intelligent bracelet main body comprises a data acquisition module, an emotion recognition module, a suggestion module and an interaction display module, wherein the data acquisition module acquires physiological data of a user and uploads the physiological data to the cloud server for analysis and processing, the emotion recognition module is matched with the suggestion module and is used for recognizing the emotion of the user in real time and utilizing the suggestion module to execute suggestion for intervening the emotion of the user according to the emotion state;
the cloud server comprises a data synchronization module and a data analysis and processing module, wherein the data synchronization module is used for synchronously processing the data of the intelligent bracelet main body and the data of the third-party mobile device, and is matched with the data analysis and processing module to analyze and process the synchronized data so as to objectively judge the psychological state of the user.
As a further preferred scheme, the data acquisition module comprises a data storage unit, a data transmission unit, a device calibration unit and a data extraction unit, wherein the data storage unit is used for storing acquired physiological data for subsequent processing; the data transmission unit transmits the acquired data to a background database of the system; the device calibration unit is used for calibrating the measurement data and the reference data of the bracelet.
As a further preferable scheme, the data extraction unit is used for directly collecting physiological data of the user, wherein the physiological data comprise data such as heart rate, blood oxygen, galvanic skin response, user voice and environmental voice.
As a further preferable scheme, the emotion recognition module comprises a physiological data analysis unit, a physiological signal processing unit and a third party emotion recognition algorithm unit.
As a further preferable scheme, the physiological data analyzing unit is used for analyzing the physiological data acquired by the bracelet into a digital signal which can be processed by an algorithm; the physiological signal processing unit is used for preprocessing the acquired physiological data to acquire clean physiological characteristics with distinction degree; and the third-party emotion recognition algorithm unit is used for judging and recognizing the emotion of the processed physiological feature by using a third-party emotion recognition algorithm.
As a further preferred embodiment, the suggestion module includes a suggestion generation unit, a suggestion recommendation unit, and a suggestion execution unit.
As a further preferable scheme, the suggestion generation unit is used for generating personalized intervention suggestions according to the psychological state and emotion characteristics of the user on the basis of emotion recognition; the suggestion recommending unit is used for recommending specific intervention suggestions to a user; the advice execution unit is used for feeding back the advice state for the intervention implemented by the user.
As a further preferable scheme, the interactive display module comprises a basic data display unit, a mind state trend analysis unit, an emotion change reminding unit and a suggestion execution feedback unit.
As a further preferable scheme, the basic data display unit is used for displaying the acquired basic physiological data on a user main page; the mind state trend analysis unit is used for displaying the trend of the psychological state of the user in a visual mode; the emotion change reminding unit is used for reminding a user of paying attention to the change of the psychological state; the advice execution feedback unit is used for providing feedback and progress update when the user executes the intervention advice strategy.
As a further preferable scheme, the data analysis and processing module comprises a data preprocessing unit, a feature extraction unit, a machine learning algorithm unit and a deep learning algorithm unit, wherein the data preprocessing unit is used for cleaning, normalizing and dimension-reducing data according to factors such as data type, quality and integrity; the feature extraction unit is used for extracting useful features from the processed data; the machine learning algorithm unit is used for inputting the acquired data and the extracted features into a machine learning model so as to predict the psychological state of a user; the deep learning algorithm unit is used for analyzing and processing the acquired data and the extracted features by using a deep learning model.
In summary, the technical effects and advantages of the present invention are: the mental state monitoring and evaluating system based on the intelligent bracelet can detect data such as heart rate, blood oxygen, skin electric reaction, user voice, environmental voice and the like of a user in real time, analyze the data by utilizing a machine learning algorithm, deduce the emotion state of the user, establish a model based on the intelligent algorithm, predict the mental state of the user, evaluate the mental health condition of the user more comprehensively, and provide personalized mental state monitoring and intervention advice for the user, so that the user can manage the emotion of the user better and improve the mental health level.
Drawings
FIG. 1 is a schematic block diagram of the structure of the present invention;
FIG. 2 is a schematic block diagram of a data acquisition module of the present invention;
FIG. 3 is a schematic block diagram of the emotion recognition module of the present invention;
FIG. 4 is a block diagram illustrating a schematic structure of a suggestion module of the present invention;
FIG. 5 is a schematic block diagram of an interactive display module of the present invention;
FIG. 6 is a schematic block diagram of a data analysis and processing module according to the present invention.
In the figure: 1. an intelligent bracelet body; 11. a data acquisition module; 111. a data storage unit; 112. a data transmission unit; 113. a device calibration unit; 114. a data extraction unit; 12. a mood recognition module; 121. a physiological data analysis unit; 122. a physiological signal processing unit; 123. a third party emotion recognition algorithm unit; 13. a suggestion module; 131. a advice generating unit; 132. a recommendation unit; 133. a advice execution unit; 14. an interactive display module; 141. a basic data display unit; 142. a mind state trend analysis unit; 143. a mood change reminding unit; 144. a suggestion execution feedback unit; 2. a cloud server; 21. a data synchronization module; 22. a data analysis and processing module; 221. a data preprocessing unit; 222. a feature extraction unit; 223. a machine learning algorithm unit; 224. a deep learning algorithm unit; 3. and a third party mobile device.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments.
Referring to fig. 1, a mental state monitoring and evaluating system based on a smart bracelet includes a smart bracelet body 1, a cloud server 2 and a third party mobile device 3 which are connected with each other, wherein:
the smart bracelet body 1 comprises a data acquisition module 11, a mood recognition module 12, a suggestion module 13 and an interaction display module 14, as shown in fig. 2, the data acquisition module 11 acquires physiological data of a user and uploads the physiological data into the cloud server 2 for analysis processing, specifically, the data acquisition module 11 comprises a data storage unit 111, a data transmission unit 112, a device calibration unit 113 and a data extraction unit 114, and the data storage unit 111 is used for storing the acquired physiological data for subsequent processing; the data transmission unit 112 transmits the collected data to a background database of the system for analysis and suggestion; the device calibration unit 113 is configured to calibrate measurement data and reference data of the wristband to obtain accurate mental state data; the data extraction unit 114 is configured to directly collect physiological data of the user, where the physiological data includes heart rate, blood oxygen, galvanic skin response, user voice, environmental voice, and the like, and can monitor the psychological state of the user in real time according to the language and physiological state of the user at ordinary times.
And the emotion recognition module 12 cooperates with the suggestion module 13, and the emotion recognition module 12 is used for recognizing the emotion of the user in real time and utilizing the suggestion module 13 to perform suggestion for intervening the emotion of the user according to the emotion state. As shown in fig. 3, the emotion recognition module 12 includes a physiological data analysis unit 121, a physiological signal processing unit 122, and a third party emotion recognition algorithm unit 123, where the physiological data analysis unit 121 is configured to analyze physiological data collected by a bracelet into a digital signal that can be processed by an algorithm; the physiological signal processing unit 122 is configured to perform filtering, noise reduction, signal enhancement and other operations on the collected physiological data to obtain clean and differentiated physiological features; the third party emotion recognition algorithm unit 123 is configured to use a third party emotion recognition algorithm to perform emotion recognition and recognition on the processed physiological feature.
As shown in fig. 4, the suggestion module 13 includes a suggestion generation unit 131, a suggestion recommendation unit 132, and a suggestion execution unit 133, wherein the suggestion generation unit 131 is configured to generate personalized intervention suggestions according to a psychological state and emotional characteristics of a user on the basis of emotion recognition, such as relaxation, meditation, and the like, in the case of anxiety, tension, and the like; the suggestion recommending unit 132 is used for recommending specific intervention suggestions to the user to help the user manage their emotional states; the advice execution unit 133 is configured to execute the intervention advice and obtain the relevant feedback after the user selects to execute the intervention advice.
As shown in fig. 5, the interactive display module 14 includes a basic data display unit 141, a mental state trend analysis unit 142, an emotion change reminding unit 143, and a suggestion execution feedback unit 144, where the basic data display unit 141 is configured to display the collected basic physiological data on a user main page, and in this embodiment, the data such as a real-time heart rate, a blood oxygen saturation, and a voice decibel of the user can be displayed; the mind state trend analysis unit 142 is configured to use a visual manner to show a trend of the mental state of the user, so as to help the user to have deeper understanding of the emotional state of the user; the emotion change reminding unit 143 is used for reminding the user of paying attention to the change of the psychological state and paying attention to the emotion and health of the user at any time; the advice execution feedback unit 144 is configured to provide feedback and progress update to assist the user in grasping the progress situation when the user executes the intervention advice.
As shown in fig. 1 and fig. 6, the cloud server 2 includes a data synchronization module 21 and a data analysis and processing module 22, wherein the data synchronization module 21 is configured to synchronize data of the smart bracelet body 1 and the third party mobile device 3, and cooperate with the data analysis and processing module 22 to analyze and process the synchronized data, so as to objectively judge the psychological state of the user, and in this embodiment, the third party mobile device 3 may be, but is not limited to, a mobile phone.
Meanwhile, the data analysis and processing module 22 includes a data preprocessing unit 221, a feature extraction unit 222, a machine learning algorithm unit 223, and a deep learning algorithm unit 224, where the data preprocessing unit 221 is configured to perform cleaning, normalization, and dimension reduction processing on data according to factors such as data type, quality, and integrity, so as to facilitate use of a downstream algorithm; the feature extraction unit 222 is configured to extract useful features from the processed data, and use the extracted features in subsequent analysis operations such as classification, regression or clustering; the machine learning algorithm unit 223 is used for inputting the collected data and the extracted features into a machine learning model to predict the psychological state of the user, such as emotion recognition, pressure evaluation and the like; the deep learning algorithm unit 224 is configured to analyze and process the collected data and the extracted features using a deep learning model to obtain a higher level of perception and understanding.
The foregoing is only a preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art, who is within the scope of the present invention, should make equivalent substitutions or modifications according to the technical scheme of the present invention and the inventive concept thereof, and should be covered by the scope of the present invention.
Claims (10)
1. The utility model provides a psychological state monitoring evaluation system based on intelligent bracelet, includes interconnect's intelligent bracelet main part (1), cloud ware (2) and third party mobile device (3), its characterized in that:
the intelligent bracelet main body (1) comprises a data acquisition module (11), an emotion recognition module (12), a suggestion module (13) and an interaction display module (14), wherein the data acquisition module (11) acquires physiological data of a user and uploads the physiological data into the cloud server (2) for analysis and processing, the emotion recognition module (12) is matched with the suggestion module (13), and the emotion recognition module (12) is used for recognizing the emotion of the user in real time and utilizing the suggestion module (13) to execute suggestion for intervening the emotion of the user according to the emotion state;
the cloud server (2) comprises a data synchronization module (21) and a data analysis and processing module (22), wherein the data synchronization module (21) is used for synchronously processing the data of the intelligent bracelet main body (1) and the data of the third-party mobile equipment (3), and analyzing and processing the synchronized data by matching with the data analysis and processing module (22), so that the user psychological state is judged by the audience.
2. The smart bracelet based mental state monitoring and assessment system according to claim 1, wherein the data acquisition module (11) comprises a data storage unit (111), a data transmission unit (112), a device calibration unit (113) and a data extraction unit (114), the data storage unit (111) being used for storing acquired physiological data for subsequent processing; the data transmission unit (112) transmits the acquired data to a background database of the system; the device calibration unit (113) is used for calibrating measurement data and reference data of the bracelet.
3. The smart wristband-based mental state monitoring and assessment system of claim 2, wherein the data extraction unit (114) is configured to directly collect physiological data of the user, where the physiological data includes heart rate, blood oxygen, galvanic skin response, user voice, and environmental voice.
4. The smart wristband-based mental state monitoring and assessment system of claim 1, wherein the emotion recognition module (12) comprises a physiological data parsing unit (121), a physiological signal processing unit (122), and a third party emotion recognition algorithm unit (123).
5. The intelligent bracelet-based mental state monitoring and assessment system according to claim 4, wherein the physiological data analysis unit (121) is configured to analyze physiological data collected by a bracelet into a digital signal that can be processed by an algorithm; the physiological signal processing unit (122) is used for preprocessing the acquired physiological data to acquire clean physiological characteristics with distinction degree; the third party emotion recognition algorithm unit (123) is used for performing emotion judgment and recognition on the processed physiological characteristics by using a third party emotion recognition algorithm.
6. The smart wristband based mental state monitoring and assessment system of claim 1, wherein the advice module (13) comprises an advice generation unit (131), an advice recommendation unit (132) and an advice execution unit (133).
7. The smart bracelet based mental state monitoring and assessment system of claim 6, wherein the advice generation unit (131) is configured to generate personalized intervention advice based on the mental state and emotional characteristics of the user on the basis of emotion recognition; the suggestion recommending unit (132) is used for recommending specific intervention suggestions to a user; the advice execution unit (133) is configured to feed back a advice state for the intervention by the user.
8. The smart wristband based mental state monitoring and assessment system of claim 1, wherein the interactive presentation module (14) comprises a basic data presentation unit (141), a mental state trend analysis unit (142), an emotion change reminding unit (143), and a advice execution feedback unit (144).
9. The smart bracelet based mental state monitoring and assessment system of claim 8, wherein the basic data presentation unit (141) is configured to present the collected basic physiological data on a user's home page; the mind state trend analysis unit (142) is used for displaying the trend of the psychological state of the user in a visual mode; the emotion change reminding unit (143) is used for reminding a user of paying attention to the change of the psychological state; the advice execution feedback unit (144) is configured to provide feedback and progress updates when the user performs the intervention advice strategy.
10. The smart bracelet-based mental state monitoring and assessment system according to claim 1, wherein the data analysis and processing module (22) comprises a data preprocessing unit (221), a feature extraction unit (222), a machine learning algorithm unit (223) and a deep learning algorithm unit (224), wherein the data preprocessing unit (221) is used for cleaning, normalizing and dimension-reducing data according to factors such as data type, quality and integrity; the feature extraction unit (222) is used for extracting useful features from the processed data; the machine learning algorithm unit (223) is configured to input the collected data and the extracted features into a machine learning model to predict a psychological state of a user; the deep learning algorithm unit (224) is configured to analyze and process the acquired data and the extracted features using a deep learning model.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117153403A (en) * | 2023-09-13 | 2023-12-01 | 安徽爱学堂教育科技有限公司 | Mental health evaluation method based on micro-expressions and physical indexes |
| CN117338298A (en) * | 2023-12-05 | 2024-01-05 | 北京超数时代科技有限公司 | Emotion intervention method and device, wearable emotion intervention equipment and storage medium |
| CN117369650A (en) * | 2023-12-08 | 2024-01-09 | 南昌菱形信息技术有限公司 | System and method for caring relatives and friends of evanescent person based on artificial intelligence |
| CN117731288A (en) * | 2024-01-18 | 2024-03-22 | 深圳谨启科技有限公司 | AI psychological consultation method and system |
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2023
- 2023-04-28 CN CN202310476876.2A patent/CN116491944A/en not_active Withdrawn
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117153403A (en) * | 2023-09-13 | 2023-12-01 | 安徽爱学堂教育科技有限公司 | Mental health evaluation method based on micro-expressions and physical indexes |
| CN117338298A (en) * | 2023-12-05 | 2024-01-05 | 北京超数时代科技有限公司 | Emotion intervention method and device, wearable emotion intervention equipment and storage medium |
| CN117338298B (en) * | 2023-12-05 | 2024-03-12 | 北京超数时代科技有限公司 | Emotion intervention method and device, wearable emotion intervention equipment and storage medium |
| CN117369650A (en) * | 2023-12-08 | 2024-01-09 | 南昌菱形信息技术有限公司 | System and method for caring relatives and friends of evanescent person based on artificial intelligence |
| CN117731288A (en) * | 2024-01-18 | 2024-03-22 | 深圳谨启科技有限公司 | AI psychological consultation method and system |
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