Presentation 2015-03-17
Reconstruction of three-dimensional multi-finger movements from magnetoencephalography with a state transition model
Yoshiki AZUMA, Yumi SHIKAUCHI, Yutaka Nakamura, Jun-ichiro HIRAYAMA, Shin ISHII,
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Abstract(in English) We proposed a new reconstruction model to reconstruct multi-finger movements from MEG signals. We extracted features of brain activities by ICA and classified brain states with HMM. The new reconstruction model yielded better performance with fewer features than by exiting methods. This result shows that we can reconstruct multi-dimensional body movements from non-invasive brain signals.
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Keyword(in English) MEG / Independent Component Analysis / Hidden Markov Model / Multi-finger movements / Reconstruction
Paper # MBE2014-152,NC2014-103
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Committee NC
Conference Date 2015/3/9(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Reconstruction of three-dimensional multi-finger movements from magnetoencephalography with a state transition model
Sub Title (in English)
Keyword(1) MEG
Keyword(2) Independent Component Analysis
Keyword(3) Hidden Markov Model
Keyword(4) Multi-finger movements
Keyword(5) Reconstruction
1st Author's Name Yoshiki AZUMA
1st Author's Affiliation Graduate School of Informatics, Kyoto University:Advanced Telecommunications Research Institute International (ATR)()
2nd Author's Name Yumi SHIKAUCHI
2nd Author's Affiliation Graduate School of Informatics, Kyoto University:Advanced Telecommunications Research Institute International (ATR)
3rd Author's Name Yutaka Nakamura
3rd Author's Affiliation Advanced Telecommunications Research Institute International (ATR):Graduate School of Engineering Science, Osaka University
4th Author's Name Jun-ichiro HIRAYAMA
4th Author's Affiliation Advanced Telecommunications Research Institute International (ATR)
5th Author's Name Shin ISHII
5th Author's Affiliation Graduate School of Informatics, Kyoto University:Advanced Telecommunications Research Institute International (ATR)
Date 2015-03-17
Paper # MBE2014-152,NC2014-103
Volume (vol) vol.114
Number (no) 515
Page pp.pp.-
#Pages 6
Date of Issue