Detection of Rapid Eye Movement by Image Analysis of Closed Upper Eyelid

  • Moriyama Tsuyoshi
    Department of Media and Image Technology, Faculty of Engineering, Tokyo Polytechnic University
  • Kobayashi Yoshikazu
    Department of Media and Image Technology, Faculty of Engineering, Tokyo Polytechnic University

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Other Title
  • 上まぶたの画像解析による閉眼時の急速眼球運動の検出
  • ウエマブタ ノ ガゾウ カイセキ ニ ヨル ヘイガンジ ノ キュウソク ガンキュウ ウンドウ ノ ケンシュツ

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Our ultimate goal of research is to develop a method that allows people to visualize the quality of their sleep without any expertise or extra care on health, which we hope achieves primary prevention of sleep-related diseases in daily life. Quality of sleep is known to be related to the cycle of two different kinds of sleep stages that are characterized by rapid eye movement. We propose a system that is capable of detecting the timing of rapid eye movement only by videotaping the face while sleeping. The system captures face using near infrared camera, detects a face with the eyes and the eyebrows in the initial video frame, fetches sub pixel values along the line that runs horizontally across the upper eyelid and generates an image intensity vector, and accumulates the vector over time to create an image that contains texture pattern correspondent to rapid eye movement. Experimental results demonstrate that the proposed method can successfully detect rapid eye movement for both simulated and real sleep with eye closure.

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