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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 17 of 17  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
IE, MVE, CQ, IMQ
(Joint) [detail]
2024-03-15
09:50
Okinawa Okinawa Sangyo Shien Center
(Primary: On-site, Secondary: Online)
IMQ2023-68 IE2023-123 MVE2023-97 We propose a simultaneous method of multimodal graph signal denoising and graph learning. Since sensor networks distribu... [more] IMQ2023-68 IE2023-123 MVE2023-97
pp.301-306
IE, MVE, CQ, IMQ
(Joint) [detail]
2024-03-15
13:50
Okinawa Okinawa Sangyo Shien Center
(Primary: On-site, Secondary: Online)
IMQ2023-87 IE2023-142 MVE2023-116 This paper introduces physics-inspired synthesized underwater image dataset (PHISWID).
Deep learning approaches to unde... [more]
IMQ2023-87 IE2023-142 MVE2023-116
pp.396-401
SIP, SP, EA, IPSJ-SLP [detail] 2024-02-29
16:20
Okinawa
(Primary: On-site, Secondary: Online)
EA2023-77 SIP2023-124 SP2023-59 In this paper, we consider a dynamic sensor placement problem where sensors can move within a network over time. Sensor ... [more] EA2023-77 SIP2023-124 SP2023-59
pp.97-102
SIP 2023-08-08
11:40
Osaka Osaka Univ. (Suita) Convention Center
(Primary: On-site, Secondary: Online)
Lossy Compression of Adjacency Matrices by Graph Filter Banks
Kenta Yanagiya, Junya Hara, Hiroshi Higashi, Yuichi Tanaka (Osaka Univ.) SIP2023-57
In this paper, we propose a compression framework for adjacency matrices of weighted graphs by graph filter banks. Adjac... [more] SIP2023-57
pp.49-54
HIP 2017-10-23
16:10
Kyoto Kyoto Terrsa Relationship between flickering frequency and SSVEP response in peripheral visual field
Kenta Nakashima, Tetsuto Minami, Hiroshi Higashi, Shigeki Nakauchi (TUT) HIP2017-63
Visual system has two modes to pay attention to an object. One is the overt attention that is to pay attention by moving... [more] HIP2017-63
pp.35-38
HIP 2017-10-23
16:30
Kyoto Kyoto Terrsa Classification of EEG and NIRS signals induced by affective pictures
Shingo Ryu, Hiroshi Higashi (TUT), Junya Muramatsu (TMC), Shigeki Nakachi, Tetsuto Minami (TUT) HIP2017-64
Brain activity can be induced by emotional stimuli. We classified brain activities induced by affective pictures from IA... [more] HIP2017-64
pp.39-42
HIP 2017-10-24
15:10
Kyoto Kyoto Terrsa Assessment of emotional state by pupillometry
Satoshi Nakakoga, Hiroshi Higashi (TUT), Junya Muramatsu (TMC), Shigeki Nakauchi, Tetsuto Minami (TUT) HIP2017-78
Recently pupillometry has attracted a lot of attention and has been studied to estimate various cognitive state.
Previ... [more]
HIP2017-78
pp.93-96
SIP 2013-08-30
14:20
Tokyo Tokyo University of Agriculture and Technology Active Data Selection With Sparsity for EEG Classification
Toshihisa Tanaka (Tokyo Univ. of Agriculture and Tech.), Naoki Tomida (Tokyo Inst. of Tech.), Hiroshi Higashi (Tokyo Univ. of Agriculture and Tech.) SIP2013-84
 [more] SIP2013-84
pp.97-102
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
VLD, CAS, MSS, SIP 2012-07-02
09:40
Kyoto Kyoto Research Park Sparsification of time windows for EEG signal classification during motor imagery
Hiroshi Higashi, Toshihisa Tanaka (TUAT) CAS2012-2 VLD2012-12 SIP2012-34 MSS2012-2
In an EEG based Brain computer interface (BCI), a time-windowed signal
having a fixed finite duration is classified
in... [more]
CAS2012-2 VLD2012-12 SIP2012-34 MSS2012-2
pp.7-12
CAS, CS, SIP 2012-03-09
13:25
Niigata The University of Niigata Toward auditory brain-computer interfacing using speech stimuli
Jun Tamura (TUAT), Yoshikazu Washizawa (UEC), Hiroshi Higashi, Naoki Morikawa, Toshihisa Tanaka (TUAT) CAS2011-157 SIP2011-177 CS2011-149
A brain-computer interface (BCI) is an alternative communication channel between human and a computer, which is able to ... [more] CAS2011-157 SIP2011-177 CS2011-149
pp.281-286
MBE, NC
(Joint)
2011-11-25
10:50
Miyagi ECEI Departments, Graduate School of Engineering, Tohoku University An SSVEP-Based BCI to Control a Mobile Robot via the Internet
Cheng Zhang, Yosuke Kimura, Hiroshi Higashi, Toshihisa Tanaka (Tokyo Univ. of Agriculture and Tech.) NC2011-79
Brain--computer interface (BCI) is an emerging technology to translate non-invasively measured brain signals into comman... [more] NC2011-79
pp.41-46
MBE, NC
(Joint)
2011-11-25
11:15
Miyagi ECEI Departments, Graduate School of Engineering, Tohoku University A BCI using FSK-modulated visual stimuli
Yosuke Kimura, Hiroshi Higashi, Toshihisa Tanaka (Tokyo Univ. of Agriculture and Tech.) NC2011-80
A brain computer interface based on steady-state visual evoked potentials has some issues; the number of available frequ... [more] NC2011-80
pp.47-52
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
SIP, RCS 2011-01-21
11:15
Kagoshima   A brain computer interface using auditory steady state responses
Hiroshi Higashi (Tokyo Univ. of Agr and Tech.), Yoshikazu Washizawa, Tomasz Rutkowski (RIKEN), Toshihisa Tanaka (Tokyo Univ. of Agr and Tech.), Andrzej Cichocki (RIKEN) SIP2010-106 RCS2010-236
We propose a paradigm and a signal processing method for a brain computer interface (BCI) using auditory steady state re... [more] SIP2010-106 RCS2010-236
pp.221-226
NC, MBE
(Joint)
2009-11-12
13:30
Miyagi Tohoku Univ. Detection of steady state visual evoked potentials using rhythmic component extraction for BCI
Yosuke Kimura, Hiroshi Higashi, Toshihisa Tanaka (Tokyo Univ. of Agr and Tech.) NC2009-54
Rhythmic component extraction (RCE) is a method for extracting a component that has the most energy in a specific range ... [more] NC2009-54
pp.23-28
SIP, CAS, VLD 2009-07-01
16:40
Hokkaido Kushiko-shi Shogai Gakushu Center An adaptive fast algorithm of rhythmic component extraction
Toshihisa Tanaka (TUAT), Yuki Saito (Sony), Hiroshi Higashi (TUAT) CAS2009-10 VLD2009-15 SIP2009-27
 [more] CAS2009-10 VLD2009-15 SIP2009-27
pp.49-53
 Results 1 - 17 of 17  /   
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