Presentation 2014-10-10
Toward Eye Movement Recognition in the Large using Electrooculography
Shoya ISHIMARU, Kai KUNZE, Koichi KISE,
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Abstract(in English) 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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Keyword(in English) wearable computing / activity recognition / blink detection / electrooculography(EOG)
Paper # PRMU2014-62
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Conference Information
Committee PRMU
Conference Date 2014/10/2(1days)
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Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Toward Eye Movement Recognition in the Large using Electrooculography
Sub Title (in English)
Keyword(1) wearable computing
Keyword(2) activity recognition
Keyword(3) blink detection
Keyword(4) electrooculography(EOG)
1st Author's Name Shoya ISHIMARU
1st Author's Affiliation Graduate School of Engineering, Osaka Prefecture University()
2nd Author's Name Kai KUNZE
2nd Author's Affiliation Graduate School of Engineering, Osaka Prefecture University
3rd Author's Name Koichi KISE
3rd Author's Affiliation Graduate School of Engineering, Osaka Prefecture University
Date 2014-10-10
Paper # PRMU2014-62
Volume (vol) vol.114
Number (no) 230
Page pp.pp.-
#Pages 4
Date of Issue