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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 8 of 8  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
NC, MBE, NLP, MICT
(Joint) [detail]
2024-01-25
14:10
Tokushima Naruto University of Education Identification of Hand Grasping and Opening Movements Based on EEG Feature Extraction during Motion Imaginary
Reo Shoji, Jianqing Wang (NIT) NLP2023-111 MICT2023-66 MBE2023-57
Wearable robot control based on electroencephalograms is expected not only for the use of myoelectric artificial hands f... [more] NLP2023-111 MICT2023-66 MBE2023-57
pp.127-132
EMCJ 2023-01-27
09:20
Okayama WASHU BLUE RESORT
(Primary: On-site, Secondary: Online)
Identification of Hand Grasping Movement Based on EEG Feature Extraction
Reo Shoji, Jianqing Wang (NITech) EMCJ2022-73
Wearable robot control based on electroencephalograms is expected not only for the use of myoelectric artificial hands f... [more] EMCJ2022-73
pp.6-11
EA, SIP, SP, IPSJ-SLP [detail] 2022-03-02
15:35
Okinawa
(Primary: On-site, Secondary: Online)
[Poster Presentation] Selective attention to music inducing neural entrainment variation and alpha-band spatial modulation
Kana Mizokuchi, Toshihisa Tanaka (TUAT), Takashi G. Sato, Yoshifumi Shiraki (NTT) EA2021-95 SIP2021-122 SP2021-80
A human can pay selective attention to music or speech from various sounds.
It has been reported that in a speech doma... [more]
EA2021-95 SIP2021-122 SP2021-80
pp.195-200
IBISML 2014-11-17
17:00
Aichi Nagoya Univ. [Poster Presentation] Importance-Weighted Covariance Estimation for Robust Common Spatial Pattern
Alessandro Balzi (PoliMi), Florian Yger, Masashi Sugiyama (Univ. of Tokyo) IBISML2014-40
Non-stationarity is an important issue for practical applications of machine learning methods. This issue particularly a... [more] IBISML2014-40
pp.41-48
IBISML 2013-11-12
15:45
Tokyo Tokyo Institute of Technology, Kuramae-Kaikan [Poster Presentation] Inter-subject Common Spatial Pattern Filter for Motor Imagery based Brain Computer Interface
Tatsuya Yokota, Yukihiko Yamashita (Tokyo Inst. of Tech.), Andrzej Cichocki (RIKEN) IBISML2013-47
Motor imagery based brain computer interface is a technique to control some device (e.g., wheelchair) through motor imag... [more] IBISML2013-47
pp.85-90
MBE, NC
(Joint)
2013-03-14
15:05
Tokyo Tamagawa University Classification of EEG Auditory Steady State Responses Using Alpha
Hironao Namba, Takashi Nakamura, Takashi Matsumoto (Waseda Univ.) MBE2012-104
One method of Brain-Computer Interfaces is to use subject’s attention to auditory stimuli. Recognition accuracy, however... [more] MBE2012-104
pp.79-82
SIP, RCS 2013-02-01
13:50
Hiroshima Viewport-Kure-Hotel (Kure) EEG Classification With Weighted Samples by Joint Tensor Diagonalization
Naoki Tomida, Hiroshi Higashi, Toshihisa Tanaka (TUAT) SIP2012-107 RCS2012-264
We present a novel method based on joint tensor diagonalization for estimating the covariance matrix of EEG data during ... [more] SIP2012-107 RCS2012-264
pp.153-158
MSS, CAS, VLD, SIP 2011-06-30
16:55
Okinawa Okinawa-Ken-Seinen-Kaikan Optimal design of a spatio-temporal filter bank for EEG signal classification
Hiroshi Higashi, Toshihisa Tanaka (TUAT) CAS2011-15 VLD2011-22 SIP2011-44 MSS2011-15
We propose a method to design multiple FIR filters and the associated spatial weights associated for feature extraction ... [more] CAS2011-15 VLD2011-22 SIP2011-44 MSS2011-15
pp.85-90
 Results 1 - 8 of 8  /   
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