Toward Eye Movement Recognition in the Large using Electrooculography
Language
Japanese
Type
Proceedings of Japanese Conferences
Authors
Shoya Ishimaru, Kai Kunze, Koichi Kise
Title
Toward Eye Movement Recognition in the Large using Electrooculography
Journal
電子情報通信学会技術研究報告
Vol.
114
No.
230
Presentation number
PRMU2014-62
Pages
pp.45-48
Location
千葉県千葉市
Reviewed
Not reviewed
Presentation type
Oral
Date
October 2014
Research fields
Pattern recognition
Key
Ishimaru2014_PRMU (id=1425)
Abstract
In this report, we discuss how to detect eye movement and blinks robustly using consumer smart glasses called JINS MEME for the use in cognitive activity recognition. We are able to distinguish of 4 activities (reading, typing, eating and talking) for 2 users using the sensor data (EOG and acceleration) from the glasses with an accuracy of 70% for 6 seconds windows and up to 100% for a 1 minute majority decision.
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