In the blink of an eye - Combining head motion and eye blink frequency for activity recognition with google glass

Shoya Ishimaru, Kai Kunze, Koichi Kise, Jens Weppner, Andreas Dengel, Paul Lukowicz, Andreas Bulling

研究成果: Conference contribution

72 被引用数 (Scopus)

抄録

We demonstrate how information about eye blink frequency and head motion patterns derived from Google Glass sensors can be used to distinguish different types of high level activities. While it is well known that eye blink frequency is correlated with user activity, our aim is to show that (1) eye blink frequency data from an unobtrusive, commercial platform which is not a dedicated eye tracker is good enough to be useful and (2) that adding head motion patterns information significantly improves the recognition rates. The method is evaluated on a data set from an experiment containing five activity classes (reading, talking, watching TV, mathematical problem solving, and sawing) of eight participants showing 67% recognition accuracy for eye blinking only and 82% when extended with head motion patterns.

本文言語English
ホスト出版物のタイトルProceedings of the 5th Augmented Human International Conference, AH 2014
出版社Association for Computing Machinery
ISBN(印刷版)9781450327619
DOI
出版ステータスPublished - 2014
外部発表はい
イベント5th Augmented Human International Conference, AH 2014 - Kobe, Japan
継続期間: 2014 3月 72014 3月 8

出版物シリーズ

名前ACM International Conference Proceeding Series

Other

Other5th Augmented Human International Conference, AH 2014
国/地域Japan
CityKobe
Period14/3/714/3/8

ASJC Scopus subject areas

  • ソフトウェア
  • 人間とコンピュータの相互作用
  • コンピュータ ビジョンおよびパターン認識
  • コンピュータ ネットワークおよび通信

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