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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 8 of 8  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
MVE, IPSJ-CVIM, VRSJ-SIG-MR 2023-01-27
13:35
Nara Nara Institute of Science and Technology
(Primary: On-site, Secondary: Online)
[Invited Talk] Emotion sensing for food processing
Wataru Sato (RIKEN) MVE2022-43
Physiological correlates of emotional experience with food stimuli are practically and theoretically important. Some pre... [more] MVE2022-43
pp.49-53
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
NC, MBE 2015-03-17
15:00
Tokyo Tamagawa University Advanced Mobile Security System Operated by Electromyography Signals
Kalanyu Zintus-art, Natsue Yoshimura, Duk Shin, Hiroyuki Kambara, Yasuharu Koike (TiTech) MBE2014-177 NC2014-128
This article describes a novel approach to biometric-based mobile security systems: a myokinetic password using surface ... [more] MBE2014-177 NC2014-128
pp.343-349
ED 2014-07-10
15:00
Aichi Toyohashi Univ. of Tech. VBL Development of Surface Electromyography Technique Utilizing Stochastic Resonance in A Nonlinear Device Network
Yuri Imai, Kento Shirata, Ryota Kuroda, Seiya Kasai (Hokkaido Univ.) ED2014-46
Toward easy-to-use electromyography (EMG) device, we investigate to apply stochastic resonance in a nonlinear device net... [more] ED2014-46
pp.7-12
SDM, ED, CPM 2013-05-17
12:10
Shizuoka Shizuoka Univ. (Hamamatsu) Graduate School of Sci. and Technol. Study on Application of Electronic Stochastic Resonance to Non-invasive Biological Signal Detection
Yuri Imai, Seiya Kasai (Hokkaido Univ.) ED2013-29 CPM2013-14 SDM2013-36
Detection of biological signal such as electromyography (EMG) is an important technology for the realization of man-mach... [more] ED2013-29 CPM2013-14 SDM2013-36
pp.71-75
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
MBE 2010-09-28
14:50
Nagano Shinsyu University A basic study on evaluation of balance ability measuring the center of gravity and surface electromyography with loading external force.
Hironori Sugimoto, Masami Hashimoto, Kazunori Itoh, Mizue Kayama, Makoto Otani (Shinshu Univ) MBE2010-24
The purpose of this study was to evaluate the balance ability of a person by measuring the center of gravity(COG) and th... [more] MBE2010-24
pp.13-18
MVE 2008-06-03
14:30
Tokyo Sanjo Conference Hall, the Univ. of Tokyo Multipoint EMG measuring during throwing motion
Hisataka Kondo, Mihoko Kunita, Shigeru Sakurazawa (Future Univ.-Hakodate), Junichi Akita (Kanazawa Univ.), Masashi Toda (Future Univ.-Hakodate), Yuichi Nakamura (Kyoto Univ.) MVE2008-21
The purpose of this study was find out a throwing motion which actualize effective pitching. In this study, the multi-ch... [more] MVE2008-21
pp.113-116
 Results 1 - 8 of 8  /   
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