研究目的
To develop a novel, non-invasive, wearable eye tracking device using Fiber Bragg Grating sensors for diagnosing ophthalmological and neurological disorders by capturing eye movements through strain variations on a cantilever.
研究成果
The FBGET is an effective, non-invasive eye tracker that shows good agreement with conventional methods. It offers advantages like wearability, electrical passiveness, and high sensitivity, making it suitable for clinical diagnostics of eye movement disorders. Future work includes characterizing specifications and testing with larger sample sizes and clinical applications.
研究不足
Positional offsets during mounting can cause errors, requiring calibration trials. The FBGET provides 1-D information per eye, necessitating data from both eyes for 2-D tracking. Sensitivity varies with probe position, and temperature effects may need compensation for longer trials.
1：Experimental Design and Method Selection:
The study designed a Fiber Bragg Grating Eye Tracker (FBGET) that uses FBG sensors to measure strain variations on a cantilever caused by eye movements. The methodology involves converting muscular displacement of the eyeball into strain, validated against a conventional camera-based eye tracker (ISCAN).
2：Sample Selection and Data Sources:
Six subjects (3 males, 3 females, aged 24-30 years) were selected with informed consent. Data were acquired from both FBGET and ISCAN systems simultaneously during eye movement trials.
3：List of Experimental Equipment and Materials:
Equipment includes FBG sensors, a stainless-steel cantilever, copper plate, rubber sheet, plastic probe, motorized translational stage for calibration, FBG interrogator (SM 130-700 from Micron Optics), and ISCAN ETL 200 eye tracker. Materials include optical fibers, stainless steel, copper, rubber, and plastic.
4：Experimental Procedures and Operational Workflow:
Subjects were seated with head fixed using a chin rest. FBGET probes were mounted on lower eyelids, and eye movements (saccades, fixations) were performed in response to visual stimuli on a screen. Data were recorded at 1 kHz for FBGET and 240 Hz for ISCAN, with calibration trials using a motorized stage.
5：Data Analysis Methods:
Data analysis involved comparing wavelength shifts from FBG sensors to angular eye movements, using linear regression and correlation coefficients. Main sequence analysis (peak velocity vs. amplitude) was performed to validate kinematic profiles.
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