Presentation | 2008/10/31 Estimation of Target Images via EEG Activities during Photo Retrieval Hideaki TOUYAMA, Michitaka HIROSE, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, a technique of photo retrieval/indexing using human brain activities is presented. The non-invasive electroencephalogram (EEG) recording was applied to have event-related P300 evoked potential during photo retrieval task in oddball paradigm. Three subjects tried to select the photo images among nine that they want to pickup according to their mental states. The features of the P300 evoked potential were successfully extracted from temporal average EEG signals. It was found that the average performances of target photo selections reached more than 80% using three-channel EEG activities with four-time average. This concept will be applicable in future to achieve intuitive retrieval and indexing for life log with large quantities of data. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Life log / Retrieval / Indexing / P300 evoked potential |
Paper # | HIP2008-90 |
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Committee | HIP |
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Conference Date | 2008/10/31(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Human Information Processing (HIP) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Estimation of Target Images via EEG Activities during Photo Retrieval |
Sub Title (in English) | |
Keyword(1) | Life log |
Keyword(2) | Retrieval |
Keyword(3) | Indexing |
Keyword(4) | P300 evoked potential |
1st Author's Name | Hideaki TOUYAMA |
1st Author's Affiliation | Information and Robot Technology Research Initiative, Tokyo University() |
2nd Author's Name | Michitaka HIROSE |
2nd Author's Affiliation | Graduate School of Information Science and Technology, Tokyo University |
Date | 2008/10/31 |
Paper # | HIP2008-90 |
Volume (vol) | vol.108 |
Number (no) | 282 |
Page | pp.pp.- |
#Pages | 3 |
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