Smarter eyewear-using commercial EOG glasses for activity recognition

Shoya Ishimaru, Yuji Uema, Kai Kunze, Koichi Kise, Katsuma Tanaka, Masahiko Inami

研究成果: Conference contribution

40 被引用数 (Scopus)

抄録

Smart eyewear computing is a relatively new subcategory in ubiquitous computing research, which has enormous potential. In this paper we present a first evaluation of soon commercially available Electrooculography (EOG) glasses (J!NS MEME) for the use in activity recognition. We discuss the potential of EOG glasses and other smart eye-wear. Afterwards, we show a first signal level assessment of MEME, and present a classification task using the glasses. We are able to distinguish of 4 activities for 2 users ( typing, reading, eating and talking) using the sensor data (EOG and acceleration) from the glasses with an accuracy of 70 % for 6 sec. windows and up to 100 % for a 1 minute majority decision. The classification is done user-independent. The results encourage us to further explore the EOG glasses as platform for more complex, real-life activity recognition systems.

本文言語English
ホスト出版物のタイトルUbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing
出版社Association for Computing Machinery, Inc
ページ239-242
ページ数4
ISBN(電子版)9781450330473
DOI
出版ステータスPublished - 2014
イベント2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2014 - Seattle, United States
継続期間: 2014 9 132014 9 17

出版物シリーズ

名前UbiComp 2014 - Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing

Other

Other2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2014
国/地域United States
CitySeattle
Period14/9/1314/9/17

ASJC Scopus subject areas

  • ソフトウェア

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