Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
HCGSYMPO (2nd) |
|
Mie |
Sinfonia Technology Hibiki Hall Ise |
Temporal analysis and visualization of muscle synergy induced by a haptic device Takumi Okada, Kazuaki Kondo, Yuichi Nakamura (Kyoto Univ.), Junichi Akita (Kanazawa Univ.), Masashi Toda (Kumamoto Univ.) |
(To be available after the conference date) [more] |
|
WIT, SP |
2018-10-27 13:50 |
Fukuoka |
Kyushu Institute of Technology(Kitakyushu) |
Proposal of Esophageal Speech Training Device with Myoelectric Signal
-- Identification of Myoelectric Signal Detection Spot for Training Device -- Katsutoshi Oe (DIT), Ryoya Nakamura (Kyutech), Kazutaka Hosokawa (DIT) SP2018-34 WIT2018-22 |
The patients who undergo the laryngectomy lose their voice. One of the speech production substitutes that are used by vo... [more] |
SP2018-34 WIT2018-22 pp.13-16 |
HIP |
2018-10-22 14:30 |
Kyoto |
Kyoto Terrsa |
Prediction of standing up motion
-- motion prediction using EMG and posture measurement -- Kenji Takeda, Takahide Ito, Kazuaki Kondo, Yuichi Nakamura (Kyoto Univ.), Junichi Akita (Kanazawa Univ.), Masashi Toda (Kumamoto Univ.) HIP2018-58 |
(To be available after the conference date) [more] |
HIP2018-58 pp.9-12 |
WIT |
2018-08-09 15:55 |
Nagano |
|
Comparision between healthy subjects and disability subjects while swallowing by using surface electromyography Toru Nagasaka, Hiroaki Yoshida, Masayoshi Kamijo (Shinshu Univ), Nobuyuki Omori (Nagano Prefecture General Industrial Technology Center), Hideya Momose (Nishizawa Electric Meters Manufacturing Co.,Ltd) WIT2018-16 |
(To be available after the conference date) [more] |
WIT2018-16 pp.19-20 |
WIT |
2018-08-09 16:20 |
Nagano |
|
Influence on electromyography electrode waveform due to difference in swallowing condition of food Tomoki Sawano, Seiichi Watanabe (NIT, Nagano Coll.), Nobuyuki Ohmori (Nagano PGITC), Hideya Momose (Skinos Nagano), Hiroshi Endo, Manabu Chikai, Shuichi Ino (AIST) WIT2018-17 |
We measured the muscle activity during swallowing of food using sheet type electromyography electrodes. During these mea... [more] |
WIT2018-17 pp.21-25 |
MBE |
2018-06-22 14:30 |
Hokkaido |
|
A muscle synergy theory-based analysis of pseudo ski turn movement with an indoor practice machine Jumpei Tsuchida, Toyohiko Hayashi (Niigata Univ.) MBE2018-12 |
Muscle synergy is a set of coordinated activity patterns of muscles, which can be estimated from their EMG activities. R... [more] |
MBE2018-12 pp.29-34 |
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 |
PRMU, MI, IE, SIP |
2018-05-17 16:15 |
Gifu |
|
Motion Monitoring using Skin-Stretcher Device Takahide Ito, Kazuaki Kondo, Yuichi Nakamura (Kyoto Univ.), Jonathan Rossiter (Bristol Univ.), Junichi Akita (Kanazawa Univ.), Masashi Toda (Kumamoto Univ.) SIP2018-5 IE2018-5 PRMU2018-5 MI2018-5 |
This paper introduces a novel design of a motion monitoring system through neck muscle measurement and skin-stretch stim... [more] |
SIP2018-5 IE2018-5 PRMU2018-5 MI2018-5 pp.17-22 |
MBE, NC (Joint) |
2018-03-13 11:15 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
Influence of bruxism on sleep Tomohisa Nohara, Takamasa Yoshida (Toyo Univ.), Konatsu Saito, Masanori Fujisawa (Meikai Univ.), Nobuyuki Terada (Toyo Univ.) MBE2017-92 |
Bruxism, unconscious clenching and grinding, is classified into awake bruxism (AB) and sleep bruxism (SB). The number of... [more] |
MBE2017-92 pp.67-70 |
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) |
2018-03-14 13:10 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
Silent Japanese Single Syllable Recognition using Similarities of Muscular Activity Transitions between EMG Channels Hidetoshi Nagai (Kyutech) MBE2017-104 |
In inaudible speech recognition based on surface EMG, recognition of consonants is one of the important tasks. When utte... [more] |
MBE2017-104 pp.119-124 |
EMM |
2018-03-05 15:45 |
Kagoshima |
Naze Community Center (Amami-Shi, Kagoshima) |
[Poster Presentation]
A Study on Face Anti-spoofing Kazuyoshi Nomoto, Hyunho Kang (NIT, Tokyo College) EMM2017-87 |
(To be available after the conference date) [more] |
EMM2017-87 pp.51-53 |
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 |
EMCJ, IEE-EMC |
2017-12-15 10:45 |
Gifu |
Gifu University |
Design of Wireless Transceiver for Control Signal Transmission of Myoelectric Artificial Hand and ESD Testing Result Yusuke Murase, Keinosuke Nagai, Daisuke Anzai, Jianqing Wang, Osamu Fujiwara (NIT) EMCJ2017-79 |
Myoelectric artificial hand is expected to be wireless from the viewpoint of improving the convenience. Meanwhile, elect... [more] |
EMCJ2017-79 pp.19-24 |
HCGSYMPO (2nd) |
2017-12-13 - 2017-12-15 |
Ishikawa |
THE KANAZAWA THEATRE |
Attempt to Detect Behavior Change Changing on Cooperative Relationships of Multiple Muscles Masato Tsuchiya, Masahiro Migita, Masashi Toda (Kumamoto Univ.), Kazuaki Kondo (Kyoto Univ.), Junichi Akita (Kanazawa Univ.), Yuichi Nakamura (Kyoto Univ.) |
The surface electromyogram signal is a signal having not only the muscle activity amount but also possibility of extract... [more] |
|
MVE |
2017-10-19 15:10 |
Hokkaido |
KitamiInstitute of Technology |
A Study of a Wearable Propagation EMG Device for a Motion Measurement in a Real Field Ryosuke Aoki, Takashi Isezaki, Arinobu Niijima, Tomoki Watanabe (NTT) MVE2017-29 |
(To be available after the conference date) [more] |
MVE2017-29 pp.25-28 |
MBE |
2017-09-23 15:45 |
Nagano |
National Institute of Technology, Nagano College |
Measurement of muscle activity during swallowing by electromyography electrodes arranged on pressure sensitive adhesive sheet Haruki Nakagawa, Tomoki Sawano, Kota Endo, Toru Tamura, Seiichi Watanabe, Yoshiaki Arai (NIT, Nagano Coll.), Nobuyuki Ohmori, Jumpei Aizawa (Nagano PGITC), Hideya Momose (Skinos Nagano) MBE2017-40 |
In the measurement of deglutition muscle activity, when a person with a swallowing disorder orally ingests, conventional... [more] |
MBE2017-40 pp.29-32 |
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 |