Stereoscopic Video Presentation with Eye Movement Failure Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing stereoscopic video display systems fail to accurately adjust the degree of stereoscopy for individual users, leading to discomfort and fatigue, as they rely on fixed values for determining eye movement fatigue and do not account for users who cannot perceive stereoscopic views due to incorrect positioning or eye movement failures.
Innovation Solution
A stereoscopic video presenting apparatus that includes an eye movement measurement unit, user count determination unit, and failure state determination unit to identify users with failure states among multiple viewers, allowing for automatic switching from stereoscopic to planar video for users experiencing fatigue or incorrect viewing positions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If the degree of stereoscopy is adjusted based on fixed fatigue threshold values, then the system can automatically control video presentation, but it incorrectly identifies users who are not fatigued as needing planar video
Solution Approach 1:
The system changes from using fixed threshold values to dynamically adjusting parameters based on reference eye movement data collected from multiple users. The fatigue determination is based on comparing individual eye movement characteristics against reference values that represent normal viewing patterns, allowing accurate identification of actual fatigue states without false positives.
Solution Approach 2:
The system implements feedback by continuously monitoring eye movement data and comparing it against reference values to dynamically adjust video presentation. This closed-loop control ensures that only users who actually need planar video due to fatigue or viewing position issues receive that treatment, while others continue to view stereoscopic content.
2Ease of operation
If fixed threshold values are used for fatigue determination, then the system operation is simplified, but it cannot adapt to individual user differences in viewing duration and conditions
Solution Approach 1:
The system performs preliminary action by collecting reference eye movement data from multiple users before actual video presentation begins. This reference data captures individual variations in viewing duration, viewing conditions, and natural eye movement patterns, enabling the system to later distinguish between normal variations and actual fatigue without complex real-time adjustments.
3Productivity
If the same stereoscopic video is viewed by multiple users, then the system can serve multiple users simultaneously, but adjusting stereoscopy degree for one user affects all users
Solution Approach 1:
The system segments the video presentation control for each user independently by tracking individual eye movement data and comparing it against reference values. This allows the system to determine and apply personalized video presentation settings (stereoscopic or planar) for each user simultaneously, rather than applying a unified setting to all users.
4Device complexity
If stereoscopic video is displayed without individualized adjustment, then the system complexity is reduced, but users experience visual fatigue and discomfort
Solution Approach 1:
The system enables self-service by automatically detecting user fatigue and viewing position issues through eye movement analysis, then autonomously adjusting video presentation without requiring manual user input. This maintains relative system simplicity while eliminating visual fatigue and discomfort through continuous adaptive control.
Data Source
AI summary
Provided is a stereoscopic video presenting apparatus including: an eye movement measurement unit configured to measure an eye movement of each of users viewing the stereoscopic video; a user count determination unit configured to determine the number of users viewing a same stereoscopic video; and a failure state determination unit configured to compare, when the user count determination unit determines that the number of users viewing the same stereoscopic video is plurality, eye movements of a plurality of users to determine a user whose eye movement is in a failure state among the plurality of users.


