Eye Tracking Distress Detection for Astronaut Safety
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Solution Overview
Problem
Current methods for detecting astronaut distress during spacewalks and training are inefficient and subjective, relying on verbal communication or visual cues, which can lead to delayed recognition of medical emergencies.
Innovation Solution
An eye monitoring system that uses an eye tracking device to monitor eye position, movement, and quality, outputting distress signals via a radio signal, including indications of distress type, to facilitate timely and objective distress detection in hazardous environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If conventional verbal communication or visual cue methods are used to detect astronaut distress, then the system is simple and easy to operate, but the detection speed is slow and response time is delayed
Solution Approach 1:
The patent replaces manual observation and verbal communication methods with an automated eye tracking system that uses optical sensors and image processing algorithms to detect distress indicators, thereby increasing detection speed while managing system complexity through automated analysis
Solution Approach 2:
The eye tracking system enables astronauts to self-monitor their own physiological state through automated analysis of eye movement patterns, eliminating the need for constant external observation and providing immediate distress detection without requiring complex external intervention systems
2Measurement precision
If manual observation by suit engineers or divers is used, then the equipment required is minimal, but the assessment is subjective and detection accuracy is reduced
Solution Approach 1:
The patent replaces subjective human observation with objective automated image processing algorithms that analyze eye tracking data according to predefined distress criteria, eliminating subjectivity and improving measurement precision through consistent, repeatable analysis
Solution Approach 2:
The system provides real-time feedback by continuously analyzing eye movement patterns and immediately identifying distress indicators, creating a closed-loop monitoring system that maintains high detection accuracy through ongoing automated assessment rather than periodic manual checks
3Productivity
If automated eye tracking analysis is implemented, then detection speed and accuracy improve, but the device complexity and processing requirements increase
Solution Approach 1:
The patent extracts only the critical distress-related features from eye tracking data (such as specific movement patterns, pupil responses, or gaze abnormalities) rather than processing all visual information, thereby improving detection efficiency while reducing the complexity of the processing system through selective feature analysis
Data Source
AI summary
An eye monitoring system for distress monitoring can include an eye tracking device configured to monitor one or more of an eye position, an eye movement, and/or an eye quality of a user, and to output eye tracking data. The system can also include a distress monitoring module configured to receive the eye tracking data from the eye tracking device and to determine whether the user is in distress based on the eye tracking data (e.g., in real time). The distress monitoring module can be configured to output a distress signal if the user is determined to be in distress.