| Presentation | 2020-10-09 Investigation of myoelectric potential features effective for predicting falling of objects due to slippage Shohei Terada, Masahiro Migita, Masashi Toda, Kazuaki Kondo, Junichi Akita, Yuichi Nakamura, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In recent years, sensing technology that appropriately detects a person's intention and state from surface EMG signals generated when trying to move muscles has been used in the development of power assist robots that assist human movements along with the development of machine control technology. Various types of power assisted robots have been developed according to the intention and state of a person, such as a care robot that assists a person in walking and a work robot that assists in lifting a heavy object. Therefore, in this research, we focused on the unstable state due to slippage when holding an object, which is a major obstacle in the movement of a person to hold an object stably. The purpose of this research is to sense the unstable state due to slippage, which is necessary for the development of a power assist robot that supports the holding of objects before dropping. In the experiment, we prepared objects with different slips and measured myoelectric potentials when a person was holding them, and investigated whether there are any features unique to holding a slipping object. It was found that there is a significant difference in the muscle activity of humans and the correlation between the main muscle and the antagonist muscle. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | myelectric signal / muscle activity / wavelet coherence analysis / slip and streaks |
| Paper # | HIP2020-45 |
| Date of Issue | 2020-10-01 (HIP) |
| Conference Information | |
| Committee | HIP |
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| Conference Date | 2020/10/8(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Video Conf. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Eye Movement (including Accommodation and Pupil), Spatial Perception (Depth Perception, Motion Perception, etc.), etc. |
| Chair | Shuichi Sakamoto(Tohoku Univ.) |
| Vice Chair | Yuji Wada(Ritsumeikan Univ.) / Sachiko Kiyokawa(Nagoya Univ.) |
| Secretary | Yuji Wada(NICT) / Sachiko Kiyokawa(NTT) |
| Assistant | Hidetoshi Kanaya(Ritsumeikan Univ.) / Yuki Yamada(Kyushu Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Human Information Processing |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Investigation of myoelectric potential features effective for predicting falling of objects due to slippage |
| Sub Title (in English) | |
| Keyword(1) | myelectric signal |
| Keyword(2) | muscle activity |
| Keyword(3) | wavelet coherence analysis |
| Keyword(4) | slip and streaks |
| 1st Author's Name | Shohei Terada |
| 1st Author's Affiliation | Kumamoto University(Kumamoto Univ.) |
| 2nd Author's Name | Masahiro Migita |
| 2nd Author's Affiliation | Kumamoto University(Kumamoto Univ.) |
| 3rd Author's Name | Masashi Toda |
| 3rd Author's Affiliation | Kumamoto University(Kumamoto Univ.) |
| 4th Author's Name | Kazuaki Kondo |
| 4th Author's Affiliation | Kyoto University(kyoto Univ.) |
| 5th Author's Name | Junichi Akita |
| 5th Author's Affiliation | Kanazawa University(Kanazawa Univ.) |
| 6th Author's Name | Yuichi Nakamura |
| 6th Author's Affiliation | Kyoto University(kyoto Univ.) |
| Date | 2020-10-09 |
| Paper # | HIP2020-45 |
| Volume (vol) | vol.120 |
| Number (no) | HIP-185 |
| Page | pp.pp.65-69(HIP), |
| #Pages | 5 |
| Date of Issue | 2020-10-01 (HIP) |