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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| CCS, NLP | 2019-06-07 14:20 |
Niigata | machinaka campus nagaoka | An Approach to CISTEM Education utilizing Robotic Platforms
-- Hands-on Practice for Biological Sensing and System Control using a Custom Module Type EMG Interface -- Takumu Hattori (Hokuriku Univ.), Kazuki Nakada (Tsukuba Tech.), Takuya Kihara, Miwako Tsunematsu (Hiroshima Univ.)  NLP2019-22 CCS2019-5 |
For education in biomedical engineering, we are going to work on Clinical, Information, Science, Technology, Engineering... [more] | NLP2019-22 CCS2019-5 pp.19-24 |
| NC, MBE (Joint) |
2018-12-15 10:25 |
Aichi | Nagoya Institute of Technology | Identification of grasping and extending motion with input of surface EMG signal of hand intrinsic muscles Ryuichi Arako, Ayumu Tsuboi, Mamoru Hirota, Masayuki Yokoyama, Masao Yanagisawa (Waseda Univ.) MBE2018-51 |
The hand and finger motions are achieved by the cooperative action of the forearm which includes extrinsic muscles, and ... [more] | MBE2018-51 pp.5-9 |
| WIT | 2018-06-09 15:30 |
Kanagawa | Identification of Tongue Motion and Silent Vowel based on EMG Tadahiro Oyama (KCCT), Taisei Watanabe (NAIST) WIT2018-4 |
In this paper, we propose a method to estimate the tongue motion direction and silent speech based on convolutional neur... [more] | WIT2018-4 pp.17-20 |
|
| MBE, NC, NLP (Joint) |
2018-01-27 14:25 |
Fukuoka | Kyushu Institute of Technology | Evaluation of Generalization Performance of Finger Motion Classifier with input of surface EMG signal of hand intrinsic muscles Junki Sato, Ayumu Tsuboi, Hirota Mamoru, Masayuki Yokoyama, Masao Yanagisawa (Waseda Univ.) MBE2017-78 |
The hand and finger motions are achieved by the cooperative action of the forearm which includes extrinsic muscles, and ... [more] | MBE2017-78 pp.65-70 |
| PRMU, MVE, IPSJ-CVIM [detail] | 2018-01-18 11:50 |
Osaka | Discrimination of five-finger tapping operation by CNN for fingerless glove-type myoelectric interface Mamoru Hirota, Junki Sato, Ayumu Tsuboi, Masayuki Yokoyama, Masao Yanagisawa (Waseda Univ) PRMU2017-125 MVE2017-46 |
In recent years, research on input interfaces that anticipate the spread of VR devices to various fields is widely condu... [more] | PRMU2017-125 MVE2017-46 pp.111-116 |
|
| MBE, NC (Joint) |
2017-12-16 13:50 |
Aichi | Nagoya University | Development of a Glove Type User Interface with Input of Surface EMG Signals of Hand Intrinsic Muscles Ayumu Tsuboi, Junki Sato, Mamoru Hirota, Masayuki Yokoyama, Masao Yanagisawa (Waseda Univ.) MBE2017-60 |
The hand and finger motions are achieved by the cooperative action of the forearm which includes extrinsic muscles, and ... [more] | MBE2017-60 pp.39-44 |
| ED | 2017-08-10 11:30 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Implementation Auto Parameter Optimization Mechanism in Robust Surface Myoelectric Detection Technique Using a Nonlinear Device Network Kazuki Inada, Yuki Inden, Seiya Kasai (Hokkaido Univ.) ED2017-35 |
Myoelectric signal (EMG) taken on the body surface of a user includes information of motion and position of the user act... [more] | ED2017-35 pp.53-56 |
| WIT, SP, ASJ-H, PRMU | 2015-06-19 10:25 |
Niigata | A new approach for gesture recognition by EMG sensors Yoichi Nagashima (SUAC) PRMU2015-54 SP2015-23 WIT2015-23 |
This is a experimental report about an application with EMG sensing. I have developed some generation of EMG sensors, an... [more] | PRMU2015-54 SP2015-23 WIT2015-23 pp.131-136 |
|
| NC, MBE (Joint) |
2014-03-17 11:10 |
Tokyo | Tamagawa University | Matrix Architecture of Electrodes for Multipoint Electromyography Measurement and Its Implementation Takayuki Hirano, Junichi Akita (Kanazawa Univ.), Shigeru Sakurazawa (FUN), Masashi Toda (Kumamoto Univ.), Kazuaki Kondo, Yuichi Nakamura (Kyoto Univ.) MBE2013-119 |
The surface electromyography (sEMG) is expected for applications in health care or as a user interface. In multi point s... [more] | MBE2013-119 pp.25-28 |
| NC, MBE | 2013-09-24 15:20 |
Niigata | Niigata University Ekinan-Campus "TOKIMATE" | Motion recognition of the forearm using a wireless electrode Takashi Kudo, Tohru Kiryu (Niigata Univ.) MBE2013-46 NC2013-32 |
Recently, research of motion recognition towards the application of assistive products and human interface, using surfac... [more] | MBE2013-46 NC2013-32 pp.57-62 |
| MBE, NC (Joint) |
2012-11-17 09:30 |
Miyagi | Tohoku University | Prediction of Joint angle from Muscle Activities decoded from Electrocorticograms in Primary Motor Cortex Duk Shin, Yasuhiko Nakanishi, Hiroyuki Kambara, Natsue Yoshimura (Tokyo Inst. of Tech.), Hidenori Watanabe, Atsushi Nambu, Tadashi Isa, Yukio Nishimura, Yasuharu Koike (NIPS) MBE2012-57 NC2012-62 |
Recently, Electrocorticography (ECoG) has drawn attention as an effective recording approach for less invasive brain-mac... [more] | MBE2012-57 NC2012-62 pp.61-64(MBE), pp.5-8(NC) |
| WIT | 2012-03-09 16:15 |
Ibaraki | Human Interface Using EMG-Based Motion Recognition Method Masahiro Yoshikawa, Yoshio Matsumoto (AIST) WIT2011-80 |
In this paper, we report an EMG-based motion recognition method using support vector machines (SVMs). This method uses E... [more] | WIT2011-80 pp.57-60 |
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| 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 |
| HCGSYMPO (2nd) |
2010-12-15 - 2010-12-17 |
Miyazaki | Miyazaki Seagai resort | Evaluation of EMG by Wink for Biological Signal Interface Masaki Kato, Akimi Seki, Masashi Okamura, Shigenori Ioroi, Hiroshi Tanaka (KAIT) |
Many kinds of input interface using biological signals such as EMG, EEG and breathing etc. have been studied in recent y... [more] | |
| PRMU, IE, MI | 2010-05-14 11:30 |
Aichi | Chubu Univ. | Integrated Interface by Image Sensing and Myoelectric Sensing Hideki Aoyama, Mitsunobu Taniguchi, Kazuaki Kondo, Yuichi Nakamura (Kyoto Univ.), Junichi Akita (Kanazawa Univ.), Masashi Toda, Shigeru Sakurazawa (Future University-Hakodate) IE2010-35 PRMU2010-23 MI2010-23 |
In this paper, we propose a novel user interface and information service based on the integration of image processing an... [more] | IE2010-35 PRMU2010-23 MI2010-23 pp.121-126 |
| MVE | 2009-11-12 14:25 |
Osaka | Osaka Institute of Technology | Motion Feature Selection for Designing ElectroMyoGraphic User Interface EMGUI Mitsunobu Taniguchi, Yuichi Nakamura, Kazuaki Kondo, Yuichi Nakamura (Kyoto Univ.), Shigeru Sakurazawa, Masashi Toda (Kouritsu Hakodatemirai Univ.), Junichi Akita (Kanazawa Univ.) MVE2009-61 |
In this paper, we propose a motion feature selection for designing EMGUI, an ElectroMyoGraphic User Interface. In EMGUI,... [more] | MVE2009-61 pp.19-20 |
| MBE | 2009-09-14 11:35 |
Niigata | Niigata Univ. | Study on Input Interface using Multi-Channel Biosignals Tatsuya Yoinoma, Junichi Hori (Niigata Univ.) MBE2009-43 |
We developed a communication support system that adapts for users and environments using electrooculogram (EOG), electro... [more] | MBE2009-43 pp.29-34 |
| MVE, CQ (Joint) |
2009-01-15 16:30 |
Miyazaki | Miyazaki Seagaia Resort | EMGUI: Motion Recognition for EMG User Interface Daiji Ito, Motoyuki Ozeki, Yuichi Nakamura (Kyoto Univ.), Shigeru Sakurazawa, Masashi Toda (Future Univ-Hakodate.), Junichi Akita (Kanazawa Univ.) CQ2008-65 MVE2008-103 |
In this paper,we propose EMGUI(User Interface by ElectroMyoGraphy) and a method of motion recognition for EMGUI. EMGU... [more] |
CQ2008-65 MVE2008-103 pp.33-38(CQ), pp.39-44(MVE) |
| NC | 2007-05-21 14:45 |
Kanagawa | Tokyo Inst. Tech.(Suzukakedai Campus) | [Special Talk]
Biological signal processing and applications Yasuharu Koike (JST-CREST/Tokyo Inst. of Tech.) NC2007-5 |
We have been developing a human interface which is drive by EMG signals. This interface is easy to use for any people,... [more] |
NC2007-5 pp.19-22 |
| NC | 2007-03-14 17:00 |
Tokyo | Tamagawa University | Multi-DOF motion controller by EMG based human-machine interface using operator's joint torque and stiffness Masato Watanabe (Tokyo Tech), Yasuhiro Yamamoto (Univ. Tokyo), Kumiyo Nakakoji (Univ. Tokyo/SRA Key Technology Lab.), Yasuharu Koike (Tokyo Tech) |
Most of interfaces measures their position change or human’s motion. Pressure sensitivity digitizer and strain sensor gi... [more] | NC2006-133 pp.91-96 |
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