MEME - Eye wear computing to explore human behavior

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

In this demonstration, we focus on eye wear to assist people, sensing their physical, social and mental activities. Detecting and quantifying our behavior can raise awareness towards unhealthy practices. We use J!NS MEME prototypes, smart glasses with integrated electrodes to detect eye movements, in application cases from reading detection over ergonomics to talking recognition for social interaction tracking.

Original languageEnglish
Title of host publicationUbiComp and ISWC 2015 - Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the Proceedings of the 2015 ACM International Symposium on Wearable Computers
PublisherAssociation for Computing Machinery, Inc
Pages361-364
Number of pages4
ISBN (Print)9781450335751
DOIs
Publication statusPublished - 2015 Sep 7
EventACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2015 ACM International Symposium on Wearable Computers, UbiComp and ISWC 2015 - Osaka, Japan
Duration: 2015 Sep 72015 Sep 11

Other

OtherACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2015 ACM International Symposium on Wearable Computers, UbiComp and ISWC 2015
CountryJapan
CityOsaka
Period15/9/715/9/11

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Keywords

  • Electrooculography
  • Eye wear computing
  • Glasses
  • Smart eye wear

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Software

Cite this

Kunze, K. S., Uema, Y., Tanaka, K., Kise, K., Ishimaru, S., & Inami, M. (2015). MEME - Eye wear computing to explore human behavior. In UbiComp and ISWC 2015 - Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the Proceedings of the 2015 ACM International Symposium on Wearable Computers (pp. 361-364). Association for Computing Machinery, Inc. https://doi.org/10.1145/2800835.2800900