Eye State Measurement System with Dynamic Visual Field Tracking
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Solution Overview
Problem
Existing systems struggle to evaluate changes in the state of a subject's eye while maintaining a relaxed head posture without fixation.
Innovation Solution
An information processing system comprising a first acquisition unit for capturing images of a subject's head, a second acquisition unit for capturing images of the subject's eye region with a narrower angle of view, a movement control unit that adjusts the visual field range of the second imaging unit based on head position information, and a state evaluation unit that assesses eye state changes from chronological image data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a fixed angle of view camera is used to capture eye images, then the camera structure is simple, but the subject must fix the head which reduces measurement accuracy when head moves
Solution Approach 1:
The patent applies the dynamics principle by making the camera's angle of view adjustable rather than fixed. The camera can dynamically change its angle of view based on detected head movement, allowing it to track the eye region without requiring head fixation. This resolves the contradiction by enabling both structural simplicity (compared to complex multi-camera systems) and measurement precision (through adaptive tracking).
Solution Approach 2:
The system uses self-service by automatically detecting head position from captured images and autonomously adjusting its own angle of view to maintain proper eye region framing. This eliminates the need for external intervention or complex mechanical positioning systems, achieving both simplicity and precision through self-adaptation.
2Measurement precision
If the camera angle of view is narrowed to capture detailed eye region, then the eye state measurement precision is improved, but the visual field range becomes limited requiring head fixation
Solution Approach 1:
The camera dynamically adjusts its angle of view based on real-time head position detection. When the head is stable, the camera uses a narrow angle of view for high-precision eye state measurement. When head movement is detected, the camera widens its angle of view to maintain the eye region within the visual field, thus adapting to different conditions without requiring head fixation.
Solution Approach 2:
The system implements feedback by continuously monitoring head position from captured images and using this information to adjust the camera's angle of view. This closed-loop control ensures that the eye region remains within the visual field regardless of head movement, maintaining both measurement precision and adaptability.
3Ease of operation
If the camera tracks head movement to maintain eye region in visual field, then the subject can relax head posture, but the system complexity increases
Solution Approach 1:
The system achieves head tracking through self-service by using the captured images themselves for both eye state measurement and head position detection. The same image data is processed to detect head landmarks and calculate head orientation, which then drives angle of view adjustment. This eliminates the need for separate sensors or complex tracking hardware, maintaining system simplicity while enabling relaxed head posture.
Solution Approach 2:
The camera system performs multiple functions using the same hardware: it captures images for eye state measurement, detects head position through landmark recognition, and determines angle of view adjustment requirements. This multi-functionality reduces overall system complexity compared to using separate dedicated devices for each function.
Data Source
AI summary
An information processing system includes a first acquisition unit, a second acquisition unit, a movement control unit, and a state evaluation unit. The first acquisition unit acquires, from a first imaging unit, image data relating to a first image of a head of a subject that is captured at a first angle of view. The second acquisition unit acquires, from a second imaging unit, image data relating to a second image of an eye region of the subject that is captured at a second angle of view narrower than the first angle of view. The movement control unit moves a visual field range of the second imaging unit. The state evaluation unit evaluates a change in state of the eye of the subject.