Dr. Doyoon Kim Profile

Dr. Doyoon Kim

at SAMSUNG Electronics Co., Ltd.

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Proceedings Article | 7 June 2024 Poster + Paper

Eyeball tracking in closed eyes from shadows

Indranil Sinharoy, Aditya Dave, Lianjun Li, Hao Chen, Doyoon Kim, Abhishek Sehgal

Proceedings Volume 13034, 130340J (2024) https://doi.org/10.1117/12.3013113

KEYWORDS: Video, Eye, Shadows, Video processing, Motion detection, Eye tracking

Read Abstract +

The capacity to track eyeball movements beneath closed eyelids holds significant promise across commercial, security, and medical domains. Our work presents a simple, effective, non-invasive method for closed-eye eyeball motion detection using videos. This method relies on detecting the temporal variations in eyelid shadows cast by the eyeball bulge in the subject’s video following face alignment and video registration. We key points used for face alignment and video registration are the detected facial landmarks. The eye movement signals derived using the presented technique closely correlate with simultaneously captured electrooculography (EOG) signals. We showcase the potential of fusing the eyeball movement signals obtained thus with data acquired from ultra-wideband (UWB) or millimeter-wave (mmWave) Doppler sensors. This fusion, supported by machine learning-based algorithms, enables the classification of sleep stages in a smart sleep chair that is designed to enhance and extend good quality sleep.

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