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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NC, MBE (Joint) |
2023-10-28 09:40 |
Miyagi | Tohoku Univ. (Primary: On-site, Secondary: Online) |
Muscle Activity Evaluation Based on the Perspective of Motor Unit Activities Detected from a Single-Channel Surface EMG Signal Hidetoshi Nagai (KIT)  MBE2023-23 |
When attempting to assess the extent of muscle activity, it is common practice to utilize the amplitude of surface EMG s... [more] | MBE2023-23 pp.3-8 |
| MBE | 2023-07-22 13:30 |
Okayama | Kawasaki University of Medical Welfare | Real-time Detection of MU Activities in a Single-Channel Surface EMG Signal Using a Wavelet Coefficient Set Hidetoshi Nagai (KIT) MBE2023-17 |
In the previous study, I demonstrated that motor unit activities in a single channel of the surface EMG signal can be vi... [more] | MBE2023-17 pp.1-6 |
| MBE, IEE-MBE | 2023-06-16 14:35 |
Hokkaido | Hokkaido University (Primary: On-site, Secondary: Online) |
Detection of MU Activities from Single-channel Surface EMG based on a Method for Extracting Component Waves using Wavelet Coefficient Sets Hidetoshi Nagai (KIT) MBE2023-10 |
The basic unit of muscle activity is the motor unit. This means that the analysis of muscle activity should be based on ... [more] | MBE2023-10 pp.4-9 |
| ICSS, IPSJ-SPT | 2023-03-13 13:10 |
Okinawa | Okinawaken Seinenkaikan (Primary: On-site, Secondary: Online) |
sEMG-based Gesture Authentication for Smartwatch Akihisa Watanabe, Ryo Iijima, Tatsuya Mori (Waseda Univ.,) ICSS2022-50 |
We propose a gesture-based user recognition system using sEMG signals for smartwatches. We designed the system to reali... [more] |
ICSS2022-50 pp.13-18 |
| NC, MBE (Joint) |
2023-03-14 14:20 |
Tokyo | The Univ. of Electro-Communications (Primary: On-site, Secondary: Online) |
Verification of Grasping Movement Distinction Accuracy of Myoelectric Prosthetic Hand System using Image Recognition Yuto Araki, Motoi Matsuda, Naohiro Fukumura (Toyohashi Univ. of Tech.) NC2022-104 |
Pattern recognition techniques using EMG have been actively studied. To use for prosthetics hand, EMG signal during the ... [more] | NC2022-104 pp.72-77 |
| VLD, DC, RECONF, ICD, IPSJ-SLDM [detail] | 2022-11-30 15:50 |
Kumamoto | (Primary: On-site, Secondary: Online) |
Design and Trial Production of Stochastic Resonance Processor using Differential Input Buffer in FPGA Akihiko Tsukahara, Sung-Gwi Cho, Keita Tanaka, Akihiko Homma, Yoshinori Uchikawa (Tokyo Denki Univ.) VLD2022-49 ICD2022-66 DC2022-65 RECONF2022-72 |
Stochastic resonance phenomenon is one of the methods that can detect weak signals buried in noise. In this paper, we pr... [more] | VLD2022-49 ICD2022-66 DC2022-65 RECONF2022-72 pp.174-177 |
| MBE, NC (Joint) |
2022-03-02 11:00 |
Online | Online | How attention affects neck muscle activations in head rotations Katsuya Takahashi, Kei Shimonishi, Kazuaki Kondo (Kyoto Univ.), Ito Takahide (RIKEN/Kyoto Univ.), Masashi Toda (Kumamoto Univ.), Junichi Akita (Kanazawa Univ.), Nakamura Yuichi (Kyoto Univ.) MBE2021-90 |
We employed EMG (electromyography) for investigating neck muscle activations in head rotations with different attentiona... [more] | MBE2021-90 pp.13-16 |
| MBE, NC (Joint) |
2022-03-02 11:25 |
Online | Online | An analytical study of habituation to rocking during standing position Yutaro Fujimoto (NIT, Tokuyama College), Yoshimitsu Hashizume (KIIS), Tomoko Hioki (YJC), Jun Nishii (Yamaguchi Univ.), Shoko Kaichida (NIT, Tokuyama College) MBE2021-91 |
In this study, the floor on which the subject stood was suddenly moved horizontally to the left and right. We analyzed t... [more] | MBE2021-91 pp.17-20 |
| BioX | 2020-11-25 13:25 |
Online | Online | A study of facial nerve palsy evaluation using surface electromyogram Kotaro Yamaguchi, Toshiko Yuji, Akira Ganaha, Tetsuya Tono, Hiroki Tamura (Univ. of Miyazaki) BioX2020-38 |
The diagnosis of facial nerve palsy consists of some diagnoses. The Yanagihara 40-point method and the ENoG value are us... [more] | BioX2020-38 pp.15-19 |
| MBE, MICT | 2020-01-25 14:40 |
Kumamoto | KKR Hotel Kumamoto | Shift Selection Method for Wavelet Coefficient Set to Extract Features of Surface EMG Signals Hidetoshi Nagai (KIT) MICT2019-49 MBE2019-78 |
Common EMG features such as RMS and MPF represent the average characteristics in the short-term window. Therefore, when ... [more] | MICT2019-49 MBE2019-78 pp.51-56 |
| NC, MBE | 2019-12-06 14:30 |
Aichi | Toyohashi Tech | Ueno Kyosei, Hashimoto Yasunari (Kitami Inst. of. Tech) MBE2019-64 NC2019-55 |
(To be available after the conference date) [more] | MBE2019-64 NC2019-55 pp.111-114 |
| WIT, SP | 2019-10-27 10:30 |
Kagoshima | Daiichi Institute of Technology | A Method to Reduce Ambiguity in Identifying the Muscle Activation Time of Each EMG Channel in Isolated Inaudible Single Syllable Recognition Hidetoshi Nagai (KIT) SP2019-32 WIT2019-31 |
In inaudible speech recognition using surface EMG, consonant recognition is one of the difficult problems. When phonemes... [more] | SP2019-32 WIT2019-31 pp.87-92 |
| MBE | 2019-05-19 10:15 |
Niigata | Niigata University | Proposition of quantification methods for "the suitable exercise" based on statics and physiological index in the preventive care for elderly Kenta Ishise, Kou Goto, Takashi Imamura (Niigata Univ.) MBE2019-4 |
In recent years, the aging of Japanese population has been advancing. And the importance of exercise for elderly person... [more] |
MBE2019-4 pp.19-24 |
| 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 (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 |
| MBE | 2016-09-24 13:25 |
Niigata | Niigata University | MBE2016-25 |
As an issue in an aging society, there are falls while walking by elderly people. It is one of the cause that we think o... [more] | MBE2016-25 pp.7-11 |
| MBE, NC (Joint) |
2016-03-23 13:45 |
Tokyo | Tamagawa University | A Study for Systematization of Quantitative and Qualitative Factors in Muscular Activity based on Redundant Wavelet Coefficients of Surface EMG Hidetoshi Nagai (Kyutech) MBE2015-124 |
A surface EMG (sEMG) is useful to evaluate muscular activity. In my previous works, I proposed the signal power feature ... [more] | MBE2015-124 pp.119-124 |
| MBE, NC (Joint) |
2015-12-19 13:00 |
Aichi | Nagoya Institute of Technology | A Method based on the Redundant Wavelet Analysis to Estimate Muscular Fatigue on Exercise in Real-Time Hidetoshi Nagai (KIT) MBE2015-69 |
Muscular fatigue is one of the important properties for evaluating the status of a muscle. General methods to estimate m... [more] | MBE2015-69 pp.37-42 |
| HCGSYMPO (2nd) |
2015-12-16 - 2015-12-18 |
Toyama | Toyama International Conference Center | Study using EMG to the effects of onomatopoeia in muscle output Hideaki Mashimo, Yashuhiro Kawahara (OUJ) |
Using the motion auxiliary effect of onomatopoeia, to examine the muscle strength improvement interventions in the rehab... [more] | |
| HCGSYMPO (2nd) |
2015-12-16 - 2015-12-18 |
Toyama | Toyama International Conference Center | Prototype of Myoelectric Output Training software Takuma Nishioka, Fumihito Ito, Masahiko Nawate (Shimane Univ.) |
People with disabilities such as severe cerebral palsy and neuromuscular disease is difficult intention transmission by ... [more] | |
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