Driver Activity Recognition Using Wrist-Worn Acceleration Sensors

Author:

KAYASHIMA Shinichiro1,AKIDUKI Takuma1,ARAKAWA Toshiya2,TAKAHASHI Hirotaka3

Affiliation:

1. Graduate School of Engineering, Toyohashi University of Technology

2. Department of Information Technology and Media Design, Faculty of Advanced Engineering, Nippon Institute of Technology

3. Research Center for Space Science, Advanced Research Laboratories, Tokyo City University

Funder

Japan Society for the Promotion of Science

Publisher

Japan Society for Fuzzy Theory and Intelligent Informatics

Subject

General Medicine

Reference13 articles.

1. [1] 警察庁交通企画課: 交通事故の発生状況, https://www.npa.go.jp/publications/statistics/koutsuu/index_jiko.html[accessed Sep. 30, 2021]

2. [2] J. Roge, T. Pebayly, and A Muzet: “Variations of the Level of Vigilance and of Behavioural Activities During Simulated Automobile Driving,” Accid. Anal. Prev., Vol.33, No.2, pp. 191-186, 2001.

3. [3] 永作浩, 屋所健司, 稲垣敏之, 古川宏, 伊藤誠: “体動情報に基づくドライバの漫然運転リアルタイム検出,”ヒューマンインタフェースシンポジウム2005, pp. 351-356, 2005.

4. [4] T. Brandt, R. Stemmer, and A. Rakotonirainy: “Affordable Visual Driver Monitoring System for Fatigue and Monotony,” IEEE Int. Conf. Syst. Man Cybern., Vol.17, pp. 6451-6456, 2004.

5. [5] M. Sunagawa, S. Shikii, W. Nakai, K. Kusukame, and H. Kitajima:“Comprehensive Drowsiness Level Detection Model Combining Multimodal Information,” IEEE Sens. J., Vol.20, No.7, pp. 3709-3717, 2020.

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