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Analysis of closed eyes motion using a wireless eye-mask
Chi-Wen Hsieh1, Chi-Wen Kan, Tai-Lang Jong
1Department of Electrical Engineering, National Tsing Hwa University, No. 101, Sec. 2 Kuang Fu Road, Hsinchu, 30013, Taiwan, ROC. hcw@phy.ncu.edu.tw
Medical & Biological Engineering & Computing
|February 28, 2007
Summary
This study introduces a wireless eye-mask to non-invasively monitor closed eye motion. The system analyzes eyelid and eyeball movements, enabling sleep depth assessment and emergency detection.
Area of Science:
- Biomedical Engineering
- Sleep Science
- Computer Vision
Background:
- Closed eye motion is a key indicator of human sleep depth.
- Current methods like electroencephalogram and ciliary muscle measurement are invasive or limited.
- Non-invasive monitoring of eye motion during sleep is needed.
Purpose of the Study:
- To develop a wireless eye-mask for non-invasive monitoring of closed eye motion.
- To create an algorithm for analyzing eye movement patterns during sleep.
- To assess the potential for emergency detection based on eye motion.
Main Methods:
- A wireless eye-mask equipped with a CCD camera, wireless module, and antenna was designed.
- Image processing techniques were used to analyze spatial and frequency features of eye motion.
- Support vector machine neural networks and statistical units were employed for motion analysis and alarm triggering.
Main Results:
- The system successfully captured and transmitted images of closed eye motion wirelessly.
- Quantitative analysis of eyelid and eyeball position, velocity, and direction was achieved.
- An algorithm was developed to accurately detect eye movement and non-movement states.
Conclusions:
- A novel, non-invasive wireless system for monitoring closed eye motion was successfully constructed.
- The developed algorithm provides a reliable method for evaluating eye movement during sleep.
- This technology holds potential for sleep studies and emergency monitoring applications.
