Presentation 2022-03-02
Machine learning-based method for estimating saccade offset points from electrooculogram
Takuma Saga, Hiroki Watanabe, Yasushi Naruse,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English)
Keyword(in Japanese) (See Japanese page)
Keyword(in English)
Paper # NC2021-51
Date of Issue 2022-02-23 (NC)

Conference Information
Committee MBE / NC
Conference Date 2022/3/2(3days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Ryuhei Okuno(Setsunan Univ.) / Rieko Osu(Waseda Univ.)
Vice Chair Junichi Hori(Niigata Univ.) / Hiroshi Yamakawa(Univ of Tokyo)
Secretary Junichi Hori(Osaka Electro-Communication Univ) / Hiroshi Yamakawa(ATR)
Assistant Jun Akazawa(Meiji Univ. of Integrative Medicine) / Emi Yuda(Tohoku Univ) / Nobuhiko Wagatsuma(Toho Univ.) / Tomoki Kurikawa(KMU)

Paper Information
Registration To Technical Committee on ME and Bio Cybernetics / Technical Committee on Neurocomputing
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Machine learning-based method for estimating saccade offset points from electrooculogram
Sub Title (in English) The evaluation of the consistency of estimated offset points by eye-fixation-related potentials
Keyword(1)
1st Author's Name Takuma Saga
1st Author's Affiliation National Institute of Information and Communications Technology(NICT)
2nd Author's Name Hiroki Watanabe
2nd Author's Affiliation National Institute of Information and Communications Technology(NICT)
3rd Author's Name Yasushi Naruse
3rd Author's Affiliation National Institute of Information and Communications Technology(NICT)
Date 2022-03-02
Paper # NC2021-51
Volume (vol) vol.121
Number (no) NC-390
Page pp.pp.24-29(NC),
#Pages 6
Date of Issue 2022-02-23 (NC)