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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 12 of 12  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
MBE, NC
(Joint)
2022-03-02
09:55
Online Online Stability of muscle synergy patterns for sit-to-stand motions under different conditions
Julian Ilham, Yuichi Nakamura, Kazuaki Kondo (Kyoto Univ.), Takahide Ito (Riken/Kyoto Univ.), Qi An (Kyushu Univ.), Junichi Akita (Kanazawa Univ.), Masashi Toda (Kumamoto Univ) MBE2021-88
Sit-to-stand (STS) is one of important motions in daily life. The analysis of STS is important not only for the rehabili... [more] MBE2021-88
pp.5-8
HCGSYMPO
(2nd)
2019-12-11
- 2019-12-13
Hiroshima Hiroshima-ken Joho Plaza (Hiroshima) Wearable Sensor-Based Tension Estimation in Group Communication and Feedback Method for Participants
Yusuke Fukushi, Motoki Sakai (Tokyo Denki Univ.)
To execute profitable group discussion, participants’ conditions such as tension or anxiety should be detected and be de... [more]
MBE, NC
(Joint)
2018-03-14
10:00
Tokyo Kikai-Shinko-Kaikan Bldg. Estimation of cycling wheelchair pedaling by using MMG/EMG hybrid transducer
Shinichi Fukuhara (Kawasaki University of Medical Welfare), Shogo Watanabe, Hisao Oka (Okayama Univ.) MBE2017-100
Evaluation of muscle contraction during dynamic exercise was investigated using the MMG/EMG hybrid transducer that could... [more] MBE2017-100
pp.99-102
MBE, NC
(Joint)
2015-07-18
15:00
Tokushima The University of Tokushima Usability Evaluation for Grip of Hammer
Kiyoko Yokoyama, Reiji Yasui (Nagoya City Univ.), Kiyohisa Nishiyama (Nagoya Univ.), Michirou Fujiyama, Tatsuhiro Maeda (Maeda Shell Service Co.) MBE2015-22
Grip is one of the general operation interface of tools, devices, sporting goods and etc. The aim of this study are 1) t... [more] MBE2015-22
pp.13-18
NLP 2014-03-11
13:30
Tokyo Sophia University Research on the semi-automatic electric wheelchair system controlled by s-EMG
Kazuhiko Inami, Hiroki Tamura, Koichi Tanno (Univ. of Miyazaki) NLP2013-183
The goal of Human-Computer Interface (or called Human-Robot interface) research is to provide humans with a new communic... [more] NLP2013-183
pp.107-110
MBE, NC
(Joint)
2012-11-16
13:00
Miyagi Tohoku University Estimation of hand position from EMG signals using musculo-skeletal model
Toshihiro Kawase (Res. Inst. Natl. Rehab. Cent.), Yasuharu Koike (Titech), Kenji Kansaku (Res. Inst. Natl. Rehab. Cent.) MBE2012-49
We have developed a Brain-Machine Interface based Occupational Therapy Assist Suit (BOTAS), which estimated user’s inten... [more] MBE2012-49
pp.21-24
NC, IPSJ-BIO 2012-06-28
10:10
Okinawa OIST, Okinawa Multi-Class EMG Pattern Classfication using a Selective Desensitization Neural Network with a Half-vs-Half Method
Kazumasa Horie (Univ. of Tsukuba), Atsuo Suemitsu (JAIST), Masahiko Morita (Univ. of Tsukuba) NC2012-3
The real-time classi cation of human movements by using surface electromyogram (EMG) signals is an important research is... [more] NC2012-3
pp.13-18
MBE 2012-06-22
15:00
Hokkaido Hokkaido University Spectral analysis of electroencephalogram in focal hand dystonia
Yasunari Hashimoto (Kitami Inst. of Tech.), Tetsuo Ota (Asahikawa Med. Univ.) MBE2012-22
Dystonia is a disorder of movement characterized by involuntary, sustained muscle contractions, frequently causing twist... [more] MBE2012-22
pp.47-50
MBE, NC
(Joint)
2012-03-14
16:25
Tokyo Tamagawa University Estimation of forearm motion and speed from surface EMG signals using a selective desensitization neural network
Ryotaro Hayashi, Atsuo Suemitsu (JAIST) NC2011-141
In order to operate a myoelectric arm like a healthy arm, not only the forearm motion but also its speed need to be esti... [more] NC2011-141
pp.117-122
MVE, HI-SIG-VR 2011-10-13
09:40
Hokkaido   Robust Finger Motion Classification using Surface Electromyogram singnals Considering Muscle Fatigue
Keisuke Ishikawa, Masashi Toda, Shigeru Sakurazawa (FUN), Junichi Akita (Kanazawa University), Kazuaki Kondo, Yuichi Nakamura (Kyoto University) MVE2011-32
Now, finger motion classification using surface electromyogram signals(EMG) is applied to a myoelectric prosthetic hand ... [more] MVE2011-32
pp.5-9
MBE 2010-10-14
13:55
Osaka Osaka Electro-Communication University Estimation of muscle activity by EMG frequency analysis during exercise on a cycle ergometer
Taku Sato (NAIST), Atsushi Iwashita (Osaka Electro-Comm. Univ.), Tetsuo Sato (NAIST), Masaki Yoshida (Osaka Electro-Comm. Univ.), Kotaro Minato (NAIST) MBE2010-29
The purpose of this study was to estimation of muscle activity by clarifying variations of EMG frequency during exercise... [more] MBE2010-29
pp.7-11
NC, NLP, IPSJ-BIO [detail] 2010-06-18
15:35
Okinawa Ryukyu-daigaku-gozyu-syunen-kinenn-kaikan Discrimination of Hand Motion from Surface EMG Signals Using a Selective Desensitization Neural Network
Hiroshi Kawata (Univ. of Tsukuba), Atsuo Suemitsu (JAIST), Masahiko Morita (Univ. of Tsukuba) NLP2010-6 NC2010-6
Real-time discrimination of hand motion from surface EMG signals is useful for developing surface EMG prosthetic arms, i... [more] NLP2010-6 NC2010-6
pp.37-44
 Results 1 - 12 of 12  /   
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