Mental state monitoring and evaluation system based on smart bracelet

Abstract

The present invention relates to the field of health monitoring technology and discloses a psychological state monitoring and evaluation system based on a smart bracelet, comprising an interconnected smart bracelet main body, a cloud server and a third-party mobile device. The smart bracelet main body comprises a data acquisition module, an emotion recognition module, a physiological data analysis module and an intervention module. The data acquisition module collects user physiological data and uploads it to the cloud server for analysis and processing. The emotion recognition module cooperates with the intervention module. The emotion recognition module is used to identify user emotions in real time. The data acquisition module collects physiological data through a built-in A / D converter and transmits the physiological data to the emotion recognition module through a network for data analysis, processing and identification. The emotion recognition module comprises a physiological data analysis unit, a physiological signal processing unit and a third-party emotion recognition algorithm unit. The physiological data analysis module calculates a physiological abnormality score Fz, a physiological stress comprehensive index Rz, an upper emotional zone value Er and a lower emotional zone value Ei.

Description

Technical Field

[0001] The present invention relates to the technical field of health monitoring, and in particular to a mental state monitoring and evaluation system based on a smart bracelet. Background Art

[0002] With rising living standards and increasing work pressure, more and more people are facing mental health issues. Traditional mental illness diagnosis and treatment evaluation rely heavily on subjective methods and lack objective measurement tools, making it difficult to identify early-stage affective disorders. Therefore, developing an effective and convenient system for assessing mental health has become essential. Summary of the Invention

[0003] (1) Technical problems solved

[0004] In response to the shortcomings of existing technologies, the present invention provides a psychological state monitoring and evaluation system based on a smart bracelet, which has the advantages of effectively and conveniently evaluating psychology, and solves the problem that traditional technologies lack objective measurement tools, resulting in difficulties in identifying early emotional disorders.

[0005] (2) Technical solution

[0006] To achieve the above-mentioned object, the present invention provides the following technical solutions: a mental state monitoring and evaluation system based on a smart bracelet, comprising a smart bracelet body, a cloud server, and a third-party mobile device connected to each other;

[0007] The smart bracelet body includes a data acquisition module, an emotion recognition module, a physiological data analysis module and an intervention module;

[0008] The data acquisition module collects the user's physiological data and uploads it to the cloud server for analysis and processing. The emotion recognition module cooperates with the intervention module through the network. The emotion recognition module is used to identify the user's emotions in real time. The data acquisition module collects physiological data through a built-in A / D converter and transmits the physiological data to the emotion recognition module through the network for data analysis, processing and recognition.

[0009] The emotion recognition module includes a physiological data analysis unit, a physiological signal processing unit and a third-party emotion recognition algorithm unit. The physiological data analysis unit analyzes physiological data through text emotion, the physiological signal processing unit recognizes physiological signal processing data through voice emotion, and the third-party emotion recognition algorithm unit recognizes third-party emotion data through physiological emotion. The physiological data analysis unit, the physiological signal processing unit and the third-party emotion recognition algorithm unit are connected to the physiological data analysis module through a network;

[0010] The physiological data analysis module is used to parse the physiological data collected by the bracelet into digital signals that can be processed by the algorithm. The physiological data analysis module includes a physiological data calculation unit, a physiological signal calculation unit and a third-party emotion recognition algorithm unit. The physiological data calculation unit calculates the physiological abnormality score Fz based on the physiological data, the physiological signal calculation unit calculates the physiological stress comprehensive index Rz based on the physiological signal processing data, and the third-party emotion recognition algorithm unit calculates the upper emotion zone value Er and the lower emotion zone value Ei based on the third-party emotion data. The physiological data calculation unit, the physiological signal calculation unit and the third-party emotion recognition algorithm unit are connected to the intervention module through a network.

[0011] Preferably, the data acquisition module mainly collects: physiological data including heart rate, blood oxygen, skin electrical response, user voice and environmental voice data.

[0012] Preferably, the physiological data analysis unit numbers the heart rate variability data, skin electrode activity data and heart rate data according to the physiological data characteristics, and the heart rate variability data, skin electrode activity data and heart rate data are numbered X1, X2 and X3 respectively.

[0013] Preferably, the physiological data calculation unit calculates the physiological abnormality score Fz based on the physiological data, and the calculation formula is:

[0014] Fz=a*X1+b*X2+c*X3

[0015] In the formula, Fz represents the physiological abnormality score, X1, X2, and X3 represent heart rate variability data, skin electrode activity data, and heart rate data, respectively; a, b, and c represent the weighted coefficients of heart rate variability data, skin electrode activity data, and heart rate data in the physiological abnormality score, respectively.

[0016] Preferably, the physiological signal processing unit numbers the resting heart rate, respiratory rate, blood oxygen saturation, skin temperature, muscle tension, brain waves, blood pressure and blood sugar under the physiological stress state according to the physiological signal processing data characteristics, and the resting heart rate, respiratory rate, blood oxygen saturation, skin temperature, muscle tension, brain waves, blood pressure and blood sugar under the physiological stress state are numbered Y1, Y2, Y3, Y4, Y5, Y6, Y7 and Y8 respectively.

[0017] Preferably, the physiological signal calculation unit calculates the physiological stress comprehensive index Rz based on the physiological signal processing data, and the calculation formula is:

[0018]

[0019] In the formula, Rz represents the comprehensive index of physiological stress, Y1, Y2, Y3, Y4, Y5, Y6, Y7, and Y8 represent the resting heart rate, respiratory rate, blood oxygen saturation, skin temperature, muscle tension, brain wave, blood pressure, and blood sugar under physiological stress, respectively. i It represents an indicator under physiological stress state. e1, e2, e3, e4, e5, e6, e7, and e8 respectively represent the weighted coefficients of resting heart rate, respiratory rate, blood oxygen saturation, skin temperature, muscle tension, brain wave, blood pressure, and blood sugar in the comprehensive physiological stress index under physiological stress state. i Indicates the weighting coefficient of a certain indicator under physiological stress state.

[0020] Preferably, the third-party emotion recognition algorithm unit numbers the emotional word intensity, degree adverb weight and negation word weight in the emotional fluctuation state of the smart bracelet according to the third-party emotion data characteristics, and the emotional word intensity in the emotional fluctuation state of the smart bracelet is numbered as T1, T2, T3, ... T n The weights of degree adverbs in the emotional fluctuation state of the smart bracelet are numbered as v1, v2, v3, ...v n The weight numbers of negative words in the emotional fluctuation state of the smart bracelet are k1, k2, k3, ...k n .

[0021] Preferably, the third-party emotion recognition algorithm unit calculates the upper emotional zone value Er based on the third-party emotion data, and the calculation formula is:

[0022]

[0023] In the formula, Er represents the upper emotional zone value, T1, T2, T3, ...T n Indicates the intensity of emotional words in the emotional state of the smart bracelet, T i Indicates the intensity of a certain level of emotional words in the emotional state of the smart bracelet, v1, v2, v3, ...v n Indicates the weight of degree adverbs in the emotional state of the smart bracelet, v i Indicates the weight of a degree adverb in the emotional state of the smart bracelet, k1, k2, k3, ...k n Indicates the weight of negative words in the emotional state of the smart bracelet, k i Indicates the weight of a certain negative word in the emotional fluctuation state of the smart bracelet.

[0024] Preferably, the third-party emotion recognition algorithm unit calculates the emotion lower zone value Ei based on the third-party emotion data, and the calculation formula is:

[0025]

[0026] In the formula, Ei represents the lower emotional zone value, T1, T2, T3, ...T n Indicates the intensity of emotional words in the emotional state of the smart bracelet, T i Indicates the intensity of a certain level of emotional words in the emotional state of the smart bracelet, v1, v2, v3, ...v n Indicates the weight of degree adverbs in the emotional state of the smart bracelet, v i Indicates the weight of a degree adverb in the emotional state of the smart bracelet, k1, k2, k3, ...k n Indicates the weight of negative words in the emotional state of the smart bracelet, k i Indicates the weight of a certain negative word in the emotional fluctuation state of the smart bracelet.

[0027] Preferably, the intervention module generates personalized intervention suggestions based on emotion recognition and in combination with the physiological abnormality score Fz, the physiological stress comprehensive index Rz, and the upper and lower emotional zone values ​​Er and Ei. At the same time, the intervention module is used to recommend specific intervention suggestions and suggestion status to the user.

[0028] Compared with the existing technology, the present invention provides a psychological state monitoring and evaluation system based on a smart bracelet, which has the following beneficial effects:

[0029] 1. The present invention uses the psychological state monitoring and evaluation system of the smart bracelet to detect user data in real time, analyze and infer the user's emotional state, establish a model based on an intelligent algorithm, predict the user's psychological state, and more comprehensively evaluate their mental health status. It can also provide personalized intervention suggestions, enabling users to better manage their emotions and improve their mental health level.

[0030] 2. The present invention calculates the physiological abnormality score Fz by numbering and weighting. The smart bracelet device can monitor and evaluate the user's health status in real time and effectively, helping the user to pay attention to his or her physiological state in real time. At the same time, the smart bracelet can also provide an emergency warning when abnormalities occur in the heart rate variability data, skin electrodermal activity data, and heart rate data, so that emergency treatment can be taken in advance to prevent health problems related to heart rate and skin. The promotion and application of the present invention will help promote the development of personal health management and enhance people's awareness of and ability to manage their own health. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 It is a schematic diagram of the structure of the present invention; DETAILED DESCRIPTION

[0032] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0033] See also Figure 1 , a mental state monitoring and evaluation system based on a smart bracelet, including an interconnected smart bracelet body, a cloud server and a third-party mobile device;

[0034] The smart bracelet body includes a data acquisition module, an emotion recognition module, a physiological data analysis module, and an intervention module;

[0035] The data acquisition module collects the user's physiological data and uploads it to the cloud server for analysis and processing. The emotion recognition module cooperates with the intervention module through the network. The emotion recognition module is used to identify the user's emotions in real time. The data acquisition module collects physiological data through the built-in A / D (analog-to-digital) converter and transmits the physiological data to the emotion recognition module through the network for data analysis, processing and recognition.

[0036] The emotion recognition module includes a physiological data analysis unit, a physiological signal processing unit, and a third-party emotion recognition algorithm unit. The physiological data analysis unit analyzes physiological data through text emotion, the physiological signal processing unit recognizes physiological signal processing data through voice emotion, and the third-party emotion recognition algorithm unit recognizes third-party emotion data through physiological emotion. The physiological data analysis unit, the physiological signal processing unit, and the third-party emotion recognition algorithm unit are connected to the physiological data analysis module through a network.

[0037] The physiological data analysis module is used to parse the physiological data collected by the bracelet into digital signals that can be processed by the algorithm. The physiological data analysis module includes a physiological data calculation unit, a physiological signal calculation unit and a third-party emotion recognition algorithm unit. The physiological data calculation unit calculates the physiological abnormality score Fz based on the physiological data, the physiological signal calculation unit calculates the physiological stress comprehensive index Rz based on the physiological signal processing data, and the third-party emotion recognition algorithm unit calculates the upper emotion zone value Er and the lower emotion zone value Ei based on the third-party emotion data. The physiological data calculation unit, the physiological signal calculation unit and the third-party emotion recognition algorithm unit are connected to the intervention module through the network.

[0038] The data acquisition module mainly collects: physiological data including heart rate, blood oxygen, skin electrical response, user voice and environmental voice data.

[0039] The physiological data analysis unit numbers the heart rate variability data (HRV), skin electrodermal activity data (EDA) and heart rate data (HR) according to the physiological data characteristics. The heart rate variability data, skin electrodermal activity data and heart rate data are numbered X1, X2 and X3 respectively.

[0040] The physiological data calculation unit calculates the physiological abnormality score Fz based on the physiological data, and the calculation formula is:

[0041] Fz=a*X1+b*X2+c*X3

[0042] In the formula, Fz represents the physiological abnormality score, X1, X2, and X3 represent heart rate variability data, skin electrode activity data, and heart rate data, respectively; a, b, and c represent the weighted coefficients of heart rate variability data, skin electrode activity data, and heart rate data in the physiological abnormality score, respectively.

[0043] The advantages are: by numbering and weighted calculation of the physiological abnormality score Fz, the smart bracelet device can monitor and evaluate the user's health status in real time and effectively, which helps the user to pay attention to his or her physiological state in real time. At the same time, the smart bracelet can also provide an emergency warning when abnormalities occur in the heart rate variability data, skin electrode activity data and heart rate data, so that emergency treatment can be made in advance to prevent health problems related to heart rate and skin. The promotion and application of the present invention will help promote the development of personal health management and enhance people's awareness of and management capabilities of their own health.

[0044] The physiological signal processing unit numbers the resting heart rate, respiratory rate, blood oxygen saturation, skin temperature, muscle tension, brain waves, blood pressure and blood sugar under physiological stress conditions according to the characteristics of the physiological signal processing data. The resting heart rate, respiratory rate, blood oxygen saturation, skin temperature, muscle tension, brain waves, blood pressure and blood sugar under physiological stress conditions are numbered Y1, Y2, Y3, Y4, Y5, Y6, Y7 and Y8 respectively.

[0045] The physiological signal calculation unit calculates the physiological pressure comprehensive index Rz based on the physiological signal processing data. The calculation formula is:

[0046]

[0047] In the formula, Rz represents the comprehensive index of physiological stress, Y1, Y2, Y3, Y4, Y5, Y6, Y7, and Y8 represent the resting heart rate, respiratory rate, blood oxygen saturation, skin temperature, muscle tension, brain wave, blood pressure, and blood sugar under physiological stress, respectively. iIt represents an indicator under physiological stress state. e1, e2, e3, e4, e5, e6, e7, and e8 respectively represent the weighted coefficients of resting heart rate, respiratory rate, blood oxygen saturation, skin temperature, muscle tension, brain wave, blood pressure, and blood sugar in the comprehensive physiological stress index under physiological stress state. i Indicates the weighting coefficient of a certain indicator under physiological stress state.

[0048] The advantages are: by calculating the comprehensive physiological stress index Rz, when the comprehensive physiological stress index Rz exceeds 2 / 3 of the system's preset threshold, the intervention module can issue an early warning to remind the individual to take exercise relaxation measures to relieve stress, thereby providing auxiliary decision-making basis for medical professionals, helping the system to develop a matching treatment plan for the user, and through continuous monitoring and evaluation of physiological stress status, it can help individuals better manage stress and promote physical and mental health.

[0049] The third-party emotion recognition algorithm unit numbers the emotional word intensity, degree adverb weight and negation word weight in the emotional fluctuation state of the smart bracelet according to the third-party emotional data characteristics. The emotional word intensity in the emotional fluctuation state of the smart bracelet is numbered as T1, T2, T3, ...T n , the degree adverb weights in the emotional fluctuation state of the smart bracelet are numbered as v1, v2, v3, ...v n , the weights of negative words in the emotional fluctuation state of the smart bracelet are numbered as k1, k2, k3, ...k n .

[0050] The third-party emotion recognition algorithm unit calculates the upper emotional zone value Er based on the third-party emotion data. The calculation formula is:

[0051]

[0052] In the formula, Er represents the upper emotional zone value, T1, T2, T3, ...T n Indicates the intensity of emotional words in the emotional state of the smart bracelet, T i Indicates the intensity of a certain level of emotional words in the emotional state of the smart bracelet, v1, v2, v3, ...v n Indicates the weight of degree adverbs in the emotional state of the smart bracelet, v i Indicates the weight of a degree adverb in the emotional state of the smart bracelet, k1, k2, k3, ...k n Indicates the weight of negative words in the emotional state of the smart bracelet, k i Indicates the weight of a certain negative word in the emotional fluctuation state of the smart bracelet.

[0053] The third-party emotion recognition algorithm unit calculates the emotion lower zone value Ei based on the third-party emotion data. The calculation formula is:

[0054]

[0055] In the formula, Ei represents the lower emotional zone value, T1, T2, T3, ...T n Indicates the intensity of emotional words in the emotional state of the smart bracelet, T i Indicates the intensity of a certain level of emotional words in the emotional state of the smart bracelet, v1, v2, v3, ...v n Indicates the weight of degree adverbs in the emotional state of the smart bracelet, v i Indicates the weight of a degree adverb in the emotional state of the smart bracelet, k1, k2, k3, ...k n Indicates the weight of negative words in the emotional state of the smart bracelet, k i Indicates the weight of a certain negative word in the emotional fluctuation state of the smart bracelet.

[0056] The advantages are: by calculating the upper emotional value Er and the lower emotional value Ei, the system can capture the dynamic range changes of emotions and reflect the real-time fluctuation of user emotions. Then, by quantifying emotions into specific numerical values, the emotional states of different time points or different users can be compared, thereby providing psychological health monitoring for emotion recognition.

[0057] The intervention module is based on emotion recognition and combines the physiological abnormality score Fz, the physiological stress comprehensive index Rz, and the upper and lower emotional zone values ​​Er and Ei to generate personalized intervention suggestions. At the same time, the intervention module is used to recommend specific intervention suggestions and suggestion status to users.

[0058] The system of the present invention can detect user data in real time, analyze and infer the user's emotional state, establish a model based on intelligent algorithms, predict the user's psychological state, and can more comprehensively assess their mental health status. It can also provide personalized intervention suggestions, enabling users to better manage their emotions and improve their mental health level.

[0059] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A mental state monitoring and evaluation system based on a smart bracelet, characterized by: Including interconnected smart bracelet body, cloud server and third-party mobile devices; The smart bracelet body includes a data acquisition module, an emotion recognition module, a physiological data analysis module and an intervention module; The data acquisition module collects the user's physiological data and uploads it to the cloud server for analysis and processing. The emotion recognition module cooperates with the intervention module through the network. The emotion recognition module is used to identify the user's emotions in real time. The data acquisition module collects physiological data through a built-in A / D converter and transmits the physiological data to the emotion recognition module through the network for data analysis, processing and recognition. The emotion recognition module includes a physiological data analysis unit, a physiological signal processing unit and a third-party emotion recognition algorithm unit. The physiological data analysis unit analyzes physiological data through text emotion, the physiological signal processing unit recognizes physiological signal processing data through voice emotion, and the third-party emotion recognition algorithm unit recognizes third-party emotion data through physiological emotion. The physiological data analysis unit, the physiological signal processing unit and the third-party emotion recognition algorithm unit are connected to the physiological data analysis module through a network; The physiological data analysis module is used to analyze the physiological data collected by the bracelet into digital signals that can be processed by the algorithm. The physiological data analysis module includes a physiological data calculation unit, a physiological signal calculation unit and a third-party emotion recognition algorithm unit. The physiological data calculation unit calculates the physiological abnormality score based on the physiological data. The physiological signal calculation unit calculates the physiological stress comprehensive index based on the physiological signal processing data The third-party emotion recognition algorithm unit calculates the upper emotional zone value based on the third-party emotion data and the lower area value , the physiological data calculation unit, the physiological signal calculation unit and the third-party emotion recognition algorithm unit are connected to the intervention module through a network; The third-party emotion recognition algorithm unit numbers the emotional word intensity, degree adverb weight and negation word weight in the emotional fluctuation state of the smart bracelet according to the third-party emotion data characteristics. The emotional word intensity number in the emotional fluctuation state of the smart bracelet is 、 、 、… The weight number of the degree adverb in the emotional state of the smart bracelet is 、 、 、… The weight number of the negative words in the emotional fluctuation state of the smart bracelet is 、 、 、… ; The third-party emotion recognition algorithm unit calculates the emotional upper zone value based on the third-party emotion data , and its calculation formula is: ； In the formula, Indicates the upper emotional range value, 、 、 、… Indicates the intensity of emotional words in the emotional state of the smart bracelet, Indicates the intensity of a certain level of emotional words in the emotional state of the smart bracelet. 、 、 、… Indicates the weight of degree adverbs in the emotional state of the smart bracelet, Indicates the weight of a degree adverb in the emotional state of the smart bracelet, 、 、 、… Indicates the weight of negative words in the emotional state of the smart bracelet, Indicates the weight of a certain negative word in the emotional state of the smart bracelet; The third-party emotion recognition algorithm unit calculates the emotion lower zone value based on the third-party emotion data , and its calculation formula is: 。 2. The mental state monitoring and evaluation system based on the smart bracelet according to claim 1 is characterized in that: The data acquisition module mainly collects physiological data including heart rate, blood oxygen, skin electrical response, user voice and environmental voice data.

3. The mental state monitoring and evaluation system based on the smart bracelet according to claim 1 is characterized in that: The physiological data analysis unit numbers the heart rate variability data, skin electrode activity data and heart rate data according to the physiological data characteristics. The heart rate variability data, skin electrode activity data and heart rate data are numbered as 、 、 .

4. The mental state monitoring and evaluation system based on the smart bracelet according to claim 3 is characterized in that: The physiological data calculation unit calculates a physiological abnormality score based on the physiological data , and its calculation formula is: ； In the formula, represents the physiological abnormality score, 、 Represent heart rate variability data, skin electrode activity data and heart rate data respectively, 、 、 They respectively represent the weighting coefficients of heart rate variability data, skin electrodermal activity data, and heart rate data in the physiological abnormality score.

5. The mental state monitoring and evaluation system based on the smart bracelet according to claim 1 is characterized in that: The physiological signal processing unit numbers the resting heart rate, respiratory rate, blood oxygen saturation, skin temperature, muscle tension, brain waves, blood pressure and blood sugar under the physiological stress state according to the physiological signal processing data characteristics. The resting heart rate, respiratory rate, blood oxygen saturation, skin temperature, muscle tension, brain waves, blood pressure and blood sugar under the physiological stress state are numbered as 、 、 、 、 、 、 .

6. The mental state monitoring and evaluation system based on the smart bracelet according to claim 5 is characterized in that: The physiological signal calculation unit calculates the physiological stress comprehensive index based on the physiological signal processing data , and its calculation formula is: ； In the formula, represents the comprehensive index of physiological stress, 、 、 、 、 、 、 、 They represent resting heart rate, respiratory rate, blood oxygen saturation, skin temperature, muscle tension, brain waves, blood pressure and blood sugar under physiological stress conditions. Indicates an indicator of physiological stress state. 、 、 、 、 、 、 、 They represent the weighted coefficients of resting heart rate, respiratory rate, blood oxygen saturation, skin temperature, muscle tension, brain waves, blood pressure and blood sugar in the comprehensive physiological stress index under physiological stress conditions. Indicates the weighting coefficient of a certain indicator under physiological stress state.

7. The mental state monitoring and evaluation system based on the smart bracelet according to claim 1 is characterized in that: The intervention module is based on emotion recognition and combined with physiological abnormality scoring , comprehensive physiological stress index and emotional upper zone value and the lower area value Generate personalized intervention suggestions, and the intervention module is used to recommend specific intervention suggestions and suggestion status to users.

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