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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 41 - 58 of 58 [Previous]  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
MBE, NC
(Joint)
2011-11-25
10:25
Miyagi ECEI Departments, Graduate School of Engineering, Tohoku University Muscle activities reconstruction using electroencephalography cortical currents
Natsue Yoshimura (Tokyo Inst. Tech.), Charles S. DaSalla, Takashi Hanakawa (NCNP), Masa-aki Sato (ATR), Yasuharu Koike (Tokyo Inst. Tech.) NC2011-78
Electroencephalography–based brain-machine interfaces (EEG-based BMIs) have recently been able to discriminate mov... [more] NC2011-78
pp.35-40
ICD, ITE-IST 2011-07-21
11:20
Hiroshima Hiroshima Institute of Technology 64ch Neural Recording Chip for Human Brain-Machine Interfaces
Takeshi Yoshida, Katsuya Sueishi (Hiroshima Univ.), Masahiro Ono (A-R-Tec), Hiroshi Ando (Hiroshima Univ.), Yoshitaka Murasaka, Atsushi Iwata (A-R-Tec), Kojiro Matsushita, Masayuki Hirata (Osaka Univ.), Takafumi Suzuki (Univ. of Tokyo) ICD2011-23
To improve the Quality of Life (QoL) of the severely disabled people, the brain-machine interface (BMI) and multi-channe... [more] ICD2011-23
pp.25-30
MBE 2011-06-17
15:40
Hokkaido Hokkaido University Changes of Excitability on Sensorimotor Cortex by Closed-Loop Brain-Machine Interface
Mitsuaki Takemi, Misa Oto, Daiki Kamatani, Akio Kimura, Meigen Liu, Junichi Ushiba (Keio Univ.) MBE2011-19
A possible mechanism of brain-machine interface (BMI) assisted stroke rehabilitation of upper limb can be described as a... [more] MBE2011-19
pp.45-50
MBE, NC
(Joint)
2010-11-18
16:30
Miyagi Tohoku University Preliminary Experiments on Brain Switch using Portable NIRS Apparatus
Kazuhiko Sagara, Kunihiko Kido (Hitachi) NC2010-57
A non-invasive 2-channel near-infrared spectroscopy (NIRS) - based BMI system has been developed, which will provide the... [more] NC2010-57
pp.27-30
MBE, NC
(Joint)
2010-11-18
18:10
Miyagi Tohoku University Comparison of Precision in Posterior Probability Estimation for Classification of Electroencephalogram -- Comparision of Support Vector Machine and Relevance Vector Machine --
Hiromu Takahashi, Tomohiro Yoshikawa, Takeshi Furuhashi (Nagoya Univ.) NC2010-61
The posterior probability in classification is useful information, which can be used for the rejection of uncertain clas... [more] NC2010-61
pp.47-52
WIT 2010-08-05
15:15
Tokyo NHK Sci. Tech. Res. Labs. [Invited Talk] Who are the users of brain-computer interface?
Koichi Mori, Minae Okada, Sachiko Okada, Toshinori Maruoka (RI of NRCD) WIT2010-22
Owing to the progress in medicine, more and more people with severe disabilities choose to live in their own home even w... [more] WIT2010-22
pp.25-30
NC, MBE
(Joint)
2010-03-09
15:25
Tokyo Tamagawa University Construction of head voxel models for EEG source estimation -- Automated noise threshold identification of MR images based on the EM algorithm --
Teruyoshi Sasayama (Kyoto Univ./JSPS), Tomoaki Iida, Takenori Oida, Shoji Hamada, Tetsuo Kobayashi (Kyoto Univ.) NC2009-98
Utilization of custom-made real head subjects’ models is expected to enhance the reliability of EEG (electroencephalogra... [more] NC2009-98
pp.61-66
NC, MBE
(Joint)
2010-03-10
15:00
Tokyo Tamagawa University A Proposal of Boosting Algorithm for Brain-Computer Interface Using Probabilistic Data Interpolation
Isao Hayashi, Shinji Tsuruse (Kansai Univ.) NC2009-139
Brain-computer interface(BCI) and brain-machine interface(BMI) have been come into the research limelight.The outer comp... [more] NC2009-139
pp.303-308
OME 2010-01-12
13:00
Tokyo Kikai-Shinko-Kaikan Bldg. Development of gel-based EEG electrode for brain-machine interface
Shigeru Toyama, Kouji Takano, Shirou Ikegami, Kenji Kansaku (NRCD) OME2009-70
An electro-conductive hydro gel to use for EEG electrode for Brain Machine Interface (BMI) has been developed. Although... [more] OME2009-70
pp.23-26
NC, MBE
(Joint)
2009-03-13
10:10
Tokyo Tamagawa Univ. EEG classification method by adaptive downsampling with training data -- Experiment with P300 Speller task --
Yuya Sakamoto, Masaki Aono (Toyohashi Univ. of Tech.) NC2008-165
To achieve Brain Computer Interface, recording Electroencephalogram (EEG) and classifying whether P300 is evoked by pres... [more] NC2008-165
pp.365-370
NC, MBE
(Joint)
2008-03-12
16:30
Tokyo Tamagawa Univ Discrimination of a moving limb by near-infrared spectroscopy
Wataru Niide, Tadashi Tsubone, Yasuhiro Wada (Nagaoka Univ. of Tech.) NC2007-144
Brain-computer interfaces (BCI) is expected as a tool for communication for paralyzed patients.
This paper proposes a m... [more]
NC2007-144
pp.191-196
NC 2007-10-18
15:30
Miyagi Tohoku University [Invited Talk] not defined
Atsushi Maki (Hitachi) NC2007-43
Optical Topography (OT) that is based on the near infrared light spectroscopy has been developed in order to measure and... [more] NC2007-43
pp.57-58
NC 2007-10-18
16:20
Miyagi Tohoku University [Invited Talk] Ethics and Governance of Brain-Machine Interface -- Current and Future Visions in Japan and US --
Tamami Fukushi (JST), Osamu Sakura (JST/Univ of Tokyo) NC2007-44
Neuroscience research has been developed by basic biology, physiology as well as clinical observations/experiences. In r... [more] NC2007-44
pp.59-62
NC 2007-10-19
14:20
Miyagi Tohoku University [Invited Talk] Functional brain mapping and neural decoding based on the electrocorticograms
Masayuki Hirata (Osaka Univ.), Takufumi Yanagisawa (Osaka Univ./ATR), Daisuke Shibuya (ATR/NAIST), Youichi Saitoh (Osaka Univ.), Amami Kato (Kinki Univ.), Yukiyasu Kamitani (ATR), Toshiki Yoshimine (Osaka Univ.) NC2007-52
Electrocorticogram (ECoG) is a well-known clinical examination for the identification of epileptic focus and has an exce... [more] NC2007-52
pp.105-108
CAS, NLP 2007-10-19
13:50
Tokyo Musashi Institute of Technology On the Chaos and Fractal Properties in EEG and NIRS Signals and their
Yuki Ebina, Shuhei Nishida, Masahiro Nakagawa (Nagaoka Univ. Tech.) CAS2007-59 NLP2007-87
A Brain Computer Interface (BCI) is the future generation man-machine interface which is expected as an attractive contr... [more] CAS2007-59 NLP2007-87
pp.41-46
CAS, SIP, VLD 2007-06-22
09:20
Hokkaido Hokkaido Tokai Univ. (Sapporo) A Brain Computer Interface Based on FFT and Multilayer Neural Network -- Feature Extraction and Generalization --
Yasuaki Kaneda, Kenji Nakayama, Akihiro Hirano (Kanazawa Univ.) CAS2007-19 VLD2007-35 SIP2007-49
In this paper, a multilayer neural network is applied to 'Brain Computer Interface' (BCI), which is one of hopeful inter... [more] CAS2007-19 VLD2007-35 SIP2007-49
pp.1-6
NC 2007-05-21
11:00
Kanagawa Tokyo Inst. Tech.(Suzukakedai Campus) [Special Talk] Study on Neural Mind Reading -- Toward Development of Cognitive Brain Machine Interface --
Ryohei P. Hasegawa (AIST) NC2007-2
While some decision-making processes often result in the generation of an observable action, e.g. eye or limb movements,... [more] NC2007-2
pp.7-8
PRMU, TL 2006-02-24
10:00
Ibaraki   Data Cleansing for EEG based Brain Computer Interface
Kenji Tanaka (Univ. Tsukuba), Takio Kurita, Friedrich Meyer, Luc Berthouze (AIST), Tohru Kawabe (Univ. Tsukuba)
The potential of brain-computer interfaces (BCI) in serving a useful purpose, e.g., supporting communication to paralyze... [more] TL2005-72 PRMU2005-207
pp.31-36
 Results 41 - 58 of 58 [Previous]  /   
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