MEME - Smart glasses to promote healthy habits for knowledge workers

Kai Steven Kunze, Kazutaka Inoue, Katsutoshi Masai, Yuji Uema, Sean Shao An Tsai, Shoya Ishimaru, Katsuma Tanaka, Koichi Kise, Masahiko Inami

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

9 Citations (Scopus)

Abstract

As people use computing devices more and more-not only desktops and laptops but also smart phones and tablets-related health risks also increase. Two of the most common and severe issues related to computer work are (1) the computer vision syndrome (CVS), symptoms include eye fatigue, headaches, dry eyes, blurred vision and (2) a too steep head flexion angle often referred to as "Text-Neck" leading to headaches and in extreme cases to spinal insures. According to medical research, users should blink often and in regular intervals (2-5 seconds) to prevent eye fatigue, dry eyes and ultimately the computer vision syndrome. To prevent "Text Neck", related work suggests that the user's head should not have a flexion angle of larger than 60° for over a minute.

Original languageEnglish
Title of host publicationACM SIGGRAPH 2015 Emerging Technologies, SIGGRAPH 2015
PublisherAssociation for Computing Machinery, Inc
ISBN (Print)9781450336352
DOIs
Publication statusPublished - 2015 Jul 31
EventInternational Conference on Computer Graphics and Interactive Techniques, SIGGRAPH 2015 - Los Angeles, United States
Duration: 2015 Aug 92015 Aug 13

Other

OtherInternational Conference on Computer Graphics and Interactive Techniques, SIGGRAPH 2015
CountryUnited States
CityLos Angeles
Period15/8/915/8/13

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design
  • Software

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  • Cite this

    Kunze, K. S., Inoue, K., Masai, K., Uema, Y., Tsai, S. S. A., Ishimaru, S., Tanaka, K., Kise, K., & Inami, M. (2015). MEME - Smart glasses to promote healthy habits for knowledge workers. In ACM SIGGRAPH 2015 Emerging Technologies, SIGGRAPH 2015 [a15] Association for Computing Machinery, Inc. https://doi.org/10.1145/2782782.2792491