AI Wearable Emotion Detection System for Remote Monitoring
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for detecting symptoms of attention disorders, emotional dysregulation, and impulsive dysregulation are subjective, require professional expertise, and lack objective, remote monitoring capabilities, making them inefficient and inaccessible for timely and personalized interventions.
Innovation Solution
An AI-based remote emotion detection and control system utilizing a wearable device with multiple sensors to collect real-time physiological parameters and a computing device with modules for data analysis, guardian input, and personalized intervention recommendations, enabling remote monitoring and intervention without professional involvement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If professional assessment methods (physical examination, interviews) are used to diagnose attention disorders and emotional dysregulation, then diagnostic accuracy can be maintained, but the complexity of the assessment process increases and requires professional expertise and cooperation from multiple parties
Solution Approach 1:
The patent replaces the mechanical system of professional clinical assessment (physical examinations, structured interviews, multi-party reports) with an automated AI-based computational system that processes physiological data from wearable sensors. The AI algorithm analyzes patterns in heart rate, skin conductance, temperature, and movement data to detect symptoms of attention disorders and emotional dysregulation, substituting human professional judgment with automated machine learning models.
Solution Approach 2:
The system enables self-monitoring and self-assessment capabilities where users wear the device continuously and the AI automatically performs assessment without requiring active participation or cooperation from the user or guardians during data collection. The system serves itself by autonomously collecting, processing, and interpreting physiological data to generate diagnostic insights.
2Measurement precision
If multiple sensors and AI modules are integrated into the wearable device for real-time physiological monitoring, then remote emotion detection accuracy improves, but the device complexity and manufacturing difficulty increase
Solution Approach 1:
The wearable device is designed as a multi-functional platform that simultaneously performs multiple sensing functions (heart rate monitoring, skin conductance measurement, temperature sensing, movement detection) using a unified hardware architecture. The same sensor array serves both health monitoring and emotion detection purposes, eliminating the need for separate dedicated devices for each function and simplifying the manufacturing supply chain.
Solution Approach 2:
The patent combines multiple previously separate components (sensors, AI processing unit, wireless communication module, power management) into a single integrated wearable device. The AI module is embedded within the wearable itself rather than requiring separate processing equipment, merging data collection and analysis functions into one manufacturable unit.
3Speed
If continuous real-time physiological monitoring is implemented, then rapid detection of emotional dysregulation symptoms is achieved, but energy consumption increases
Solution Approach 1:
The system implements periodic sampling of physiological parameters rather than truly continuous monitoring. The wearable device collects data at optimized intervals (e.g., heart rate every second, skin conductance every 5 seconds, temperature every 10 seconds) based on the temporal characteristics of emotional responses. This periodic action maintains detection speed for rapid emotional changes while significantly reducing average power consumption compared to continuous high-frequency sampling.
Solution Approach 2:
The monitoring frequency is dynamically adjusted based on detected physiological states. When the AI detects baseline stable conditions, sampling rates are reduced to conserve energy. When emotional arousal or stress indicators are detected, the system automatically increases sampling frequency to capture rapid changes, optimizing the balance between detection speed and energy consumption in real-time.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Provides rapid, objective, and personalized assessment and intervention for emotional dysregulation, improving emotional health management and reducing the risk of mental health issues through real-time monitoring and tailored coping strategies.
Implementation Method 1
the PPG is a simple sensor that uses a LED light source and a photodetector at the skin surface to detect volumetric changes in the blood flow
Implementation Method 2
an electrodermal activity (EDA) sensor... configured to measure and detect changes in electrical activity resulting from changes in sweat gland activity from the skin of the user
Implementation Method 3
a skin temperature (SKT) sensor... configured to monitor the temperature of the user
Data Source
AI summary
The present invention relates an artificial intelligence (AI) based remote emotion detection and control system and method for detecting the symptoms of attention disorder, emotional dysregulation, mental stress, and impulsive dysregulation. The AI based remote emotion detection and control system comprises a wearable device and a computing device includes a guardian input module, a storage module, an assessment module, an alerting module, and an emotion module. The wearable device and the computing device are connected to a server via a network. The AI based remote emotion detection and control system provides quick and accurate care by detecting pre-atypical behaviour physiological patterns using the wearable device. The AI based remote emotion detection and control system improves in situ personalized care for people with autism, epilepsy, and other disorders that involve episodes of extreme emotional or physical responses.