Automated Stress Management Platform Using Wearable Signals
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Solution Overview
Problem
Current methods for monitoring mental stress are either expensive, time-consuming, and subjective, or they lack the ability to provide continuous and detailed recommendations for stress relief.
Innovation Solution
An automated stress management platform that combines machine learning with electrical and/or optical signal detection in wearable technology to instantaneously detect stress levels and provide personalized recommendations for alleviation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If questionnaires and professional consultations are used for stress monitoring, then stress levels can be measured, but the process becomes expensive, time-consuming, and subjective
Solution Approach 1:
The patent replaces manual questionnaires and professional consultations with an automated electronic system that uses machine learning models to analyze electrical and optical signals. This substitution eliminates the need for human professionals to conduct assessments, thereby reducing time consumption and cost while maintaining or improving measurement precision through continuous automated monitoring.
Solution Approach 2:
The system enables self-service stress monitoring by automatically collecting electrical and optical signals from wearable devices, processing them through pre-trained machine learning models, and generating stress level assessments without requiring professional intervention. The system serves itself by continuously monitoring and providing real-time feedback, eliminating the time loss associated with scheduling and conducting professional consultations.
2Measurement precision
If biomarker-based testing is used for stress monitoring, then objectivity is improved, but special instruments are required and continuous monitoring is unable
Solution Approach 1:
The patent employs machine learning models that can process multiple types of signals (electrical and optical) from common wearable devices to perform stress monitoring. This multi-functional approach allows the system to maintain objectivity like biomarker testing while using widely available consumer electronics rather than specialized medical instruments, thereby reducing device complexity and enabling continuous monitoring.
Solution Approach 2:
Instead of directly measuring physiological biomarkers which require special instruments, the system creates a computational model that copies the stress detection functionality using electrical and optical signals from standard wearable devices. This computational copying approach achieves objective measurement without the need for complex specialized equipment.
3Measurement precision
If traditional stress monitoring methods are used, then stress levels can be detected, but detailed recommendations for stress relief cannot be provided
Solution Approach 1:
The patent implements a closed-loop feedback system where the machine learning model not only detects stress levels but also provides personalized recommendations for stress relief. The system continuously monitors stress levels, analyzes patterns, and adjusts recommendations based on individual responses, thereby preventing information loss about actionable interventions while maintaining accurate stress detection.
Data Source
AI summary
The present disclosure provides automated methods and systems for implementing a pipeline involving the training and deployment of a predictive model for predicting a stress level of an individual and recommending mental exercises for the individual. An exemplary method includes identifying an individual with an unknown stress level, obtaining one or more electrical or optical signals associated with stress from the individual, predicting a stress level of the individual based on the one or more electrical or optical signals obtained from the individual, wherein the stress level of the individual is predicted by a predictive model, and generating a recommendation for the individual based on the predicted stress level, the recommendation including one or more mental exercises for relieving stress for the individual.