| Presentation | 2000/11/23 A Study on Movement Recognition for FES Gait Control of Hemiplegic Patients Shiho Yamagishi, Takashi Watanabe, Norio Furuse, Hajime Murakami, Shigeo Ohba, Ryoko Futami, Nozomu Hoshimiya, Yasunobu Handa, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In order to develop a user-friendly Functional Electrical Stimulation (FES)system with high level of safety, we studied man-machine interface of the FES system considering reconstruction of gait of hemiplegics. First, recognition of different walking patterns(straight on the level floor, upstairs and downstairs)was studied using an artificial neural network(ANN)based on acceleration waveforms measured during the walking with six normal subjects. We found that the ANN could recognize each walking pattern in real time. This method will be useful in monitoring FES movement for safety. We also found that a similar structure of the ANN could recognize specific movements of the lower limb from acceleration patterns. This technique can be applied to detecting control commands to the FES system without using the upper limb. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | FES / hemiplegia / acceleration / artificial neural network / specific movements / movement recognition |
| Paper # | MBE2000-99 |
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| Conference Information | |
| Committee | MBE |
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| Conference Date | 2000/11/23(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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| Vice Chair | |
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| Paper Information | |
| Registration To | ME and Bio Cybernetics (MBE) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Study on Movement Recognition for FES Gait Control of Hemiplegic Patients |
| Sub Title (in English) | |
| Keyword(1) | FES |
| Keyword(2) | hemiplegia |
| Keyword(3) | acceleration |
| Keyword(4) | artificial neural network |
| Keyword(5) | specific movements |
| Keyword(6) | movement recognition |
| 1st Author's Name | Shiho Yamagishi |
| 1st Author's Affiliation | Graduate School of Engineering, Tohoku University() |
| 2nd Author's Name | Takashi Watanabe |
| 2nd Author's Affiliation | Graduate School of Engineering, Tohoku University |
| 3rd Author's Name | Norio Furuse |
| 3rd Author's Affiliation | Miyagi National College of Technology |
| 4th Author's Name | Hajime Murakami |
| 4th Author's Affiliation | Niigata Institute of Technology |
| 5th Author's Name | Shigeo Ohba |
| 5th Author's Affiliation | Graduate School of Engineering, Tohoku University |
| 6th Author's Name | Ryoko Futami |
| 6th Author's Affiliation | Graduate School of Engineering, Tohoku University |
| 7th Author's Name | Nozomu Hoshimiya |
| 7th Author's Affiliation | Graduate School of Engineering, Tohoku University |
| 8th Author's Name | Yasunobu Handa |
| 8th Author's Affiliation | New Industry Creation Hatchery Center, Tohoku University |
| Date | 2000/11/23 |
| Paper # | MBE2000-99 |
| Volume (vol) | vol.100 |
| Number (no) | 478 |
| Page | pp.pp.- |
| #Pages | 8 |
| Date of Issue | |