Electronic Contact Lens Eye Movement Analysis for Mental State Estimation
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Solution Overview
Problem
Current electronic contact lenses lack the capability to accurately and continuously monitor mental states such as fatigue, intoxication, injury, mood, sleep quality, and medical conditions through eye movement patterns, relying on limited and variable individual and contextual data analysis.
Innovation Solution
An electronic contact lens system that integrates motion sensors and a processing module to track and analyze eye movements over time, generating baseline parameters for normal conditions and detecting deviations to estimate mental states, with optional alerts and automated actions via integrated projectors, imagers, and external devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If electronic contact lenses integrate motion sensors and processing modules to continuously monitor eye movements, then mental state monitoring capability is improved, but device complexity increases
Solution Approach 1:
The patent combines multiple functional components (motion sensors, projectors, imaging devices, batteries, and processing modules) into a single electronic contact lens system. This merging enables continuous eye movement tracking and mental state estimation while maintaining a wearable form factor, resolving the contradiction between enhanced monitoring capability and device complexity through integrated design.
Solution Approach 2:
The electronic contact lens system performs multiple functions simultaneously: it monitors eye movements for mental state estimation, provides virtual reality or augmented reality through projectors, captures images via imaging devices, and supplies power through integrated batteries. This multi-functionality approach allows the system to achieve sophisticated mental state monitoring without requiring separate dedicated devices for each function.
2Measurement precision
If the system analyzes eye movement patterns continuously over time, then accuracy of mental state estimation is improved, but loss of time for data processing increases
Solution Approach 1:
The system establishes baseline eye movement parameters before performing mental state estimation. By pre-characterizing normal eye movement patterns for each user, the system reduces the computational burden during actual monitoring, as deviations from established baselines can be quickly identified without requiring complex real-time analysis of all parameters.
Solution Approach 2:
The system continuously compares current eye movement measurements against established baseline parameters and provides feedback when deviations indicate abnormal mental conditions. This feedback mechanism enables efficient processing by focusing computational resources on detecting and responding to significant deviations rather than continuously analyzing all movement parameters in detail.
3Reliability
If the system integrates multiple sensors and processing capabilities, then reliability of mental state monitoring is improved, but ease of operation decreases
Solution Approach 1:
The system automatically establishes baseline parameters and performs mental state estimation without requiring user intervention. The contact lens autonomously tracks eye movements, compares them against baselines, and generates alerts when abnormal conditions are detected, eliminating the need for users to manually operate or configure the monitoring functions while maintaining high reliability through continuous automated analysis.
Data Source
AI summary
A system includes an electronic contact lens that obtains sensor measurements from integrated motion sensors or other types of sensors and a processing module that estimates a mental state of an individual based on the sensor measurements. The processing module identifies patterns of eye movements and analyzes how these patterns change over time. Based on anatomical relationships between eye movement and mental state, the processing module estimates characteristics of the individual such as fatigue, intoxication, injury, or a medical condition that have known effects on eye movement patterns. The electronic contact lens system generates an output indicative of the estimated mental state to alert the individual to the detected condition or to initiate an automated action.