Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
MW |
2012-10-19 15:40 |
Tochigi |
Utsunomiya Univ. |
Relationship between microwave CT image and underlying physiological condition in the human forearms during muscle load Yusuke Sato, Michio Miyakawa (Niigata univ.) MW2012-112 |
To clarify the mechanism of gray level change in CP-MCT (Chirped Pulse Microwave CT) , relationships among the gray leve... [more] |
MW2012-112 pp.175-180 |
MBE |
2012-09-27 15:20 |
Nagano |
Shinshu Univ. |
Association between brain structure and muscle force distribution Kahori Kita, Jun Izawa (ATR), Takashi Hanakawa (NCNP), Rieko Osu (ATR) MBE2012-34 |
We investigated how brain structure affects muscle force distribution. Human subjects made isometric contraction to 16 d... [more] |
MBE2012-34 pp.19-24 |
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 classication 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 |
HCS |
2012-03-05 16:30 |
Shizuoka |
|
Simultaneous Analysis of Motion and Electromyogram in Gaming Interface by Pseudo-Haptics Hirooki Aoki (Hiroshima City Univ.), Norihiro Oisaka, Hironobu Matsumoto, Masayuki Hirata, Akemi Oisaka, Yasunori Uchida, Tomoaki Yoshino (Oisaka Electronic Device), Ryo Furukawa (Hiroshima City Univ.) HCS2011-69 |
We have developed a new virtual reality system for experiencing the bouldering. One of objectives in the system developm... [more] |
HCS2011-69 pp.19-24 |
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 |
HIP |
2011-07-23 10:30 |
Toyama |
|
The Complicated Hand Shapes Recognition with EMG during Playing the Instruments Masafumi Mizuguchi, Hideaki Touyama (Toyama Prefectural Univ.) HIP2011-27 |
Recently, aiming the entertainment use, studies on ElectroMyoGram (EMG) have been more and more investigated. In this pa... [more] |
HIP2011-27 pp.1-4 |
NC, MBE [detail] |
2010-12-19 11:45 |
Aichi |
Nagoya Univ. |
Development of coaching system for evaluation at performance during skiing exercise by measuring knee joint angle and surface electromyogram Toshio Murayama, Tohru Kiryu, Yukihiko Ushiyama (Nigata Univ.) MBE2010-58 NC2010-69 |
Dynamic exercise under natural environment influences athletes’ performances under varieties of conditions. Especially f... [more] |
MBE2010-58 NC2010-69 pp.17-22 |
MBE, NC (Joint) |
2010-11-18 14:20 |
Miyagi |
Tohoku University |
Study on construction of muscle activity monitoring system Yoshinori Ishikawa (TITECH), Tohru Yagi (TITECH/RIKEN) NC2010-54 |
Since muscular strength training consists of repetitive exercise, the target muscle is easy to accumulate muscle fatigue... [more] |
NC2010-54 pp.13-17 |
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 |
MBE |
2009-10-29 15:20 |
Osaka |
Osaka Electro-Communication University |
Estimation of muscle fiber direction by matrix electrode Yuto Konishi, Akiko Yamaguchi (Osaka Electro-Communication Univ.), Takumu Hattori (Hyogo Assistec), Hideo Nakamura, Masaki Yoshida (Osaka Electro-Communication Univ.) MBE2009-60 |
When a muscle fiber direction and an electrode direction are different, it will be a problem in surface electromyogram m... [more] |
MBE2009-60 pp.29-32 |
MBE |
2009-09-14 09:40 |
Niigata |
Niigata Univ. |
Influence on lower limbs muscle activity pattern by the femoral region muscle contractile velocity in walking Takahiro Fujiki, Tohru Kiryu, Yukihiko Ushiyama, Mamoru Iwaki (Niigata Univ) MBE2009-39 |
It is reported that the peak latency which is consumed in reaching the maximum muscular strength in the femoral region h... [more] |
MBE2009-39 pp.7-12 |
NC, MBE (Joint) |
2009-03-11 16:10 |
Tokyo |
Tamagawa Univ. |
A Power Assist System Considering Equilibrium Points of Musculoskeletal System Toshihiro Kawase (Tokyo Inst. of Tech.), Hiroyuki Kambara, Yasuharu Koike (Tokyo Inst. of Tech/JST-CREST) MBE2008-105 |
In a research area of power assist device, it has been tried to estimate information about users' intended motion from e... [more] |
MBE2008-105 pp.57-62 |
CAS, NLP |
2009-01-22 17:25 |
Miyazaki |
|
The Knee Joint Angle Prediction using s-EMG during Walking Dai Okumura, Hiroki Tamura (Miyazaki Univ.), Hisashi Tanaka (MNCT), Koichi Tanno (Miyazaki Univ.) CAS2008-82 NLP2008-112 |
In this paper, we proposed the knee joint angle prediction system using adaptive neuro-fuzzy inference system (abbr.ANFI... [more] |
CAS2008-82 NLP2008-112 pp.103-107 |
MBE |
2008-10-30 13:25 |
Osaka |
Osaka Electro-Communication University |
A study on range of EMG signal inducement by array-electrodes Akiko Yamaguchi, Masaki Yoshida (Osaka Electro-Communication Univ.) MBE2008-54 |
If we can freely change the range where the electromyogram is induced by surface electrodes, we can use the surface ele... [more] |
MBE2008-54 pp.5-8 |
MBE, NC (Joint) |
2007-12-22 14:20 |
Aichi |
|
Analysis of muscle fatigue during handwriting in state of pressurizing and non-pressurizing Yu Hotta, Yoshimichi Imamiya, Kenichi Ito (NIIT) MBE2007-78 |
Fast Fourier transformation (FFT) has been used as a common way to analyze muscle fatigue using a surface electromyogram... [more] |
MBE2007-78 pp.25-28 |
MBE |
2007-06-29 13:30 |
Hokkaido |
|
Spectral analysis of EMG in real competition of cross-country ski Takumi Shudo, Kiyonori Kawahatsu, Koji Miwa (Hokkaido Univ.), Keizo Yamamoto, Shieko Hareyama (Asai Gakuen Univ.), Toshiyuki Shimooka (Saitama Medical Univ.), Koichi Shimizu (Hokkaido Univ.) MBE2007-16 |
To promote competitive potential, the spectral analysis of EMG was conducted for the skiers with different ability. The ... [more] |
MBE2007-16 pp.5-8 |
CAS |
2006-01-12 14:30 |
Miyazaki |
|
Development of Finger Motion Inference System Using Surface-Myoelectricity Satoshi Nakamura, Keiji Hashiguti, Takako Toyama, Koichi Tanno (Miyazaki Univ.) |
In this paper, the program that make a reasonable inference results of the finger movement. At first, we construct the ... [more] |
CAS2005-81 pp.37-42 |