Presentation | 2014-10-10 Toward Eye Movement Recognition in the Large using Electrooculography Shoya ISHIMARU, Kai KUNZE, Koichi KISE, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | wearable computing / activity recognition / blink detection / electrooculography(EOG) |
Paper # | PRMU2014-62 |
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Committee | PRMU |
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Conference Date | 2014/10/2(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Registration To | Pattern Recognition and Media Understanding (PRMU) |
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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 |
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