Perception of drowsiness based on correlation with facial image features

Yugo Sato, Takuya Kato, Naoki Nozawa, Shigeo Morishima

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

This paper presents a video-based method for detecting drowsiness. Generally, human beings can perceive their fatigue and drowsiness through looking at faces. The ability to perceive the fatigue and the drowsiness has been studied in many ways. The drowsiness detection method based on facial videos has been proposed [Nakamura et al. 2014]. In their method, a set of the facial features calculated with the Computer Vision techniques and the k-nearest neighbor algorithm are applied to classify drowsiness degree. However, the facial features that are ineffective against reproducing the perception of human beings with the machine learning method are not removed. This factor can decrease the detection accuracy.

本文言語English
ホスト出版物のタイトルProceedings of the ACM Symposium on Applied Perception, SAP 2016
出版社Association for Computing Machinery, Inc
ページ139
ページ数1
ISBN(電子版)9781450343831
DOI
出版ステータスPublished - 2016 7月 22
イベントACM Symposium on Applied Perception, SAP 2016 - Anaheim, United States
継続期間: 2016 7月 222016 7月 23

出版物シリーズ

名前Proceedings of the ACM Symposium on Applied Perception, SAP 2016

Other

OtherACM Symposium on Applied Perception, SAP 2016
国/地域United States
CityAnaheim
Period16/7/2216/7/23

ASJC Scopus subject areas

  • 計算理論と計算数学
  • ソフトウェア
  • 応用数学
  • 理論的コンピュータサイエンス

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