System and method to evaluate and predict mental condition
AssigneePanasonic Intellectual Property Management Co., Ltd.
InventorsAriel BECK, Jovia Jia Zhen LEE, Khai Jun KEK
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Abstract
The present invention relates to a system and method for monitoring and predicting the mental health of a person. Data is collected from multiple sensors including a camera and microphone. Additional sensors can be added to improve the robustness of the system such as heart rate sensors and respiration sensors. The data can be collected in phases that provide contextual awareness to the system. An algorithm can synchronize the data collected in the different phases and the data can be analyzed individually and collectively. Historical data can be included in the analysis to evaluate and predict the mental condition of a person.
Claims28
A system for evaluating and predicting the mental health of a person comprising:
- a. one or more sensors adapted to detect sensor data relating to the person's voluntary and autonomic responses;
- b. a signal processing unit;
- and
- c. a database of historical data,
- wherein sensor data is detected and recorded in at least one phase;
- and
- wherein sensor data from the at least one phase is analyzed for aberrations, deviations and/or patterns in reference to historical data to evaluate the person's mental health and predict one or more mental health ailments.
A computer implemented method of evaluating the mental health of a person, said method comprising the steps of:
- a. detecting and recording data from the person's autonomic and voluntary responses with one or more sensors in a first phase to obtain first phase data;
- b. detecting and recording data from the person's autonomic and voluntary responses with one or more sensors during a second phase to obtain second phase data;
- and
- c. comparing the first phase data with the second phase data to identify aberrations, deviations and/or patterns in the person's autonomic and voluntary responses,
- wherein the aberrations, deviations and/or patterns are indicative of the presence or absence of one or more mental health ailments.
A computer implemented method of evaluating the mental health of a person, said method comprising the steps of:
- a. collecting first phase data on the person's autonomic and voluntary responses with one or more sensors in a first phase;
- b. detecting aberrations, deviations and/or patterns in the first phase data;
- c. correlating the aberrations, deviations and/or patterns in the first phase data with one or more mental health ailments found in historical data;
- d. collecting second phase data on the person's autonomic and voluntary responses with one or more sensors in a second phase;
- e. detecting aberrations, deviations and/or patterns in the second phase data by comparing the second phase data with the first phase data;
- and
- f. correlating the aberrations, deviations and/or patterns in the second phase data with one or more mental health ailments found in historical data,
- wherein the aberrations, deviations and/or patterns detected in the first phase data and/or second phase data are indicative of the presence or absence of one or more mental health ailments.
Dependencies are inferred from the claim text.