Individual identification technique using visual evoked potential signals
A new individual identification technique using visual evoked potential (VEP) signals is proposed. The technique uses fuzzy ARTMAP (FA) classification of gamma band VEP response from 61 channels extracted while the individual is seeing a single picture. All ten subjects tested are classified correct...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
2002
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| Subjects: | |
| Online Access: | http://shdl.mmu.edu.my/2619/ http://shdl.mmu.edu.my/2619/1/1879.pdf |
| _version_ | 1848790104936546304 |
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| author | Palaniappan, R. Raveendran, P. |
| author_facet | Palaniappan, R. Raveendran, P. |
| author_sort | Palaniappan, R. |
| building | MMU Institutional Repository |
| collection | Online Access |
| description | A new individual identification technique using visual evoked potential (VEP) signals is proposed. The technique uses fuzzy ARTMAP (FA) classification of gamma band VEP response from 61 channels extracted while the individual is seeing a single picture. All ten subjects tested are classified correctly with an overall maximum classification rate of 95% across 200 test patterns. The method could be developed into a stand-alone identification system or as an addition to existing identification systems, especially for identifying a group of individuals in a company or factory. |
| first_indexed | 2025-11-14T18:07:19Z |
| format | Article |
| id | mmu-2619 |
| institution | Multimedia University |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T18:07:19Z |
| publishDate | 2002 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | mmu-26192014-02-06T03:55:04Z http://shdl.mmu.edu.my/2619/ Individual identification technique using visual evoked potential signals Palaniappan, R. Raveendran, P. TA Engineering (General). Civil engineering (General) A new individual identification technique using visual evoked potential (VEP) signals is proposed. The technique uses fuzzy ARTMAP (FA) classification of gamma band VEP response from 61 channels extracted while the individual is seeing a single picture. All ten subjects tested are classified correctly with an overall maximum classification rate of 95% across 200 test patterns. The method could be developed into a stand-alone identification system or as an addition to existing identification systems, especially for identifying a group of individuals in a company or factory. 2002-12 Article NonPeerReviewed text en http://shdl.mmu.edu.my/2619/1/1879.pdf Palaniappan, R. and Raveendran, P. (2002) Individual identification technique using visual evoked potential signals. Electronics Letters, 38 (25). pp. 1634-1635. ISSN 00135194 http://dx.doi.org/10.1049/el:20021104 doi:10.1049/el:20021104 doi:10.1049/el:20021104 |
| spellingShingle | TA Engineering (General). Civil engineering (General) Palaniappan, R. Raveendran, P. Individual identification technique using visual evoked potential signals |
| title | Individual identification technique using visual evoked potential signals |
| title_full | Individual identification technique using visual evoked potential signals |
| title_fullStr | Individual identification technique using visual evoked potential signals |
| title_full_unstemmed | Individual identification technique using visual evoked potential signals |
| title_short | Individual identification technique using visual evoked potential signals |
| title_sort | individual identification technique using visual evoked potential signals |
| topic | TA Engineering (General). Civil engineering (General) |
| url | http://shdl.mmu.edu.my/2619/ http://shdl.mmu.edu.my/2619/ http://shdl.mmu.edu.my/2619/ http://shdl.mmu.edu.my/2619/1/1879.pdf |