Development of drowsiness predicting system using respiration curve on image information processing

Nanami Miyanishi; Kenji Yamada; Yuzuha Tonegawa; Koji Nagasaki

doi:10.1117/12.2568319

18 August 2020 Development of drowsiness predicting system using respiration curve on image information processing

Nanami Miyanishi, Kenji Yamada, Yuzuha Tonegawa, Koji Nagasaki

Proceedings Volume 11509, Optics and Photonics for Information Processing XIV; 115090O (2020) https://doi.org/10.1117/12.2568319
Event: SPIE Optical Engineering + Applications, 2020, Online Only

Conference Poster

Abstract

We propose a method of detecting respiration curve for the Drowsiness Predicting system based on optical image information processing. It is well known that a falling sleep relate to respiration. This paper focus on a frequency and amplitude of respiration while driving to predict a moment of a falling sleep. Proposed system composed of video camera and image processing unit. Video camera capture time-series image while driving. Image processing unit calculate subtract images per any frame. The respiration ratio is extracted to analysis the time-series signal. In this paper, we have developed a test bed system, and evaluate our system in comparison with a medical device.

Conference Presentation

Citation Download Citation

Nanami Miyanishi, Kenji Yamada, Yuzuha Tonegawa, and Koji Nagasaki "Development of drowsiness predicting system using respiration curve on image information processing", Proc. SPIE 11509, Optics and Photonics for Information Processing XIV, 115090O (18 August 2020); https://doi.org/10.1117/12.2568319

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