Emotional State Estimation via Physiological Feedback
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Solution Overview
Problem
Current technologies fail to effectively predict and manage emotional states in individuals, leading to unawareness of emotional changes and inappropriate responses, which can result in negative outcomes such as anger or anxiety issues.
Innovation Solution
A system that uses smartphones and wearable devices to detect and measure physiological and physical parameters, processing this data to estimate emotional states and provide real-time feedback to the user, utilizing algorithms like neural networks and AI for accurate predictions and guidance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If current technologies are used to detect physical parameters, then basic sensing capability is provided, but emotional state prediction and management capability is lacking
Solution Approach 1:
The system continuously monitors physiological parameters (heart rate, skin conductance, temperature) and provides real-time feedback about emotional states to users through notifications and alerts. This closed-loop feedback enables users to recognize and manage their emotional states proactively, resolving the contradiction by transforming basic sensing data into actionable emotional awareness.
Solution Approach 2:
The patent introduces AI algorithms and neural networks as intermediary components that process raw physiological data and translate it into meaningful emotional state predictions. This intermediary layer bridges the gap between basic physical parameter detection and emotional state understanding, enabling the system to predict emotional changes before they manifest consciously.
2Measurement precision
If real-time monitoring of multiple parameters is implemented, then emotional state estimation accuracy is improved, but device complexity increases
Solution Approach 1:
The system uses a single smartphone device that integrates multiple sensing capabilities (accelerometer, gyroscope, microphone, camera, GPS) already present in modern smartphones. By making the device multi-functional and leveraging existing hardware for multiple purposes, the system achieves high measurement precision without proportionally increasing device complexity.
Solution Approach 2:
The system utilizes physiological parameters that are naturally produced by the human body without requiring external sensors or additional hardware. The body's own physiological responses (heart rate, skin conductance, temperature changes, speech patterns) serve as the measurement source, eliminating the need for complex external monitoring equipment.
3Measurement precision
If AI algorithms and neural networks are used for emotional prediction, then prediction accuracy is improved, but processing energy consumption increases
Solution Approach 1:
The system processes physiological data continuously at a basic level to detect trends and anomalies, then intensifies processing only when emotional changes are detected or when users request detailed analysis. This partial processing approach maintains high prediction accuracy for critical emotional states while reducing overall energy consumption during stable emotional periods.
Solution Approach 2:
Instead of continuous intensive processing, the system employs periodic analysis of physiological data streams, checking for emotional state changes at intervals and triggering detailed AI analysis only when necessary. This periodic processing pattern maintains prediction accuracy while significantly reducing energy consumption compared to continuous intensive processing.
Data Source
AI summary
Systems and methods for estimating emotional states, moods, affects of an individual and providing feedback to the individual or others are disclosed. Systems and methods that provide real time detection and monitoring of physical aspects of an individual and/or aspects of the individual's activity and means of estimating that person's emotional state or affect and change to those are also disclosed. Real time feedback to the individual about the person's emotional change, change or potential change is provided to the user, helping the user cope, adjust or appropriately act on their emotions.