文献の詳細

論文の言語	英語
著者	Shoya Ishimaru, Kai Kunze, Katsuma Tanaka, Yuji Uema, Koichi Kise, Masahiko Inami
論文名	Smarter Eyewear — Using Commercial EOG Glasses for Activity Recognition
論文誌名	Proceedings of the 2014 ACM Conference on pervasive and ubiquitous computing adjunct publication (UbiComp2014)
ページ	pp.239-242
発表場所	Seattle, USA
査読の有無	有
発表の種類	口頭ならびにポスター発表
年月	2014年9月
要約	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.
DOI	10.1145/2638728.2638795

• BibTeX用エントリー

  @InProceedings{Ishimaru2014,
    author =	{Shoya Ishimaru and Kai Kunze and Katsuma Tanaka and Yuji Uema and Koichi Kise and Masahiko Inami},
    title =	{Smarter Eyewear --- Using Commercial EOG Glasses for Activity Recognition},
    booktitle =	{Proceedings of the 2014 ACM Conference on pervasive and ubiquitous computing adjunct publication (UbiComp2014)},
    year =	2014,
    month =	sep,
    pages =	{239--242},
    DOI =		{10.1145/2638728.2638795},
    location =	{Seattle, USA}
  }
  
  
  

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