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| Presentation | 2014-03-11 13:30 Research on the semi-automatic electric wheelchair system controlled by s-EMG Kazuhiko Inami, Hiroki Tamura, Koichi Tanno (Univ. of Miyazaki)  NLP2013-183 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | The goal of Human-Computer Interface (or called Human-Robot interface) research is to provide humans with a new communication channel that allows translating people’s intention states via a computer into performing specific actions. This paper presents a novel hands-free control system for controlling the electric wheelchair, which is based on Bio-signals as surface electromyogram signals. The Bioelectric signals are picked up from facial muscles then the Bio-signals are passed through an amplifier and a high pass filter. Motion control commands (Forward, Left, Right, Back and Stop) are classified by simple rule. These commands are used for controlling the electric wheelchair. In this paper we tried the monitoring test for serious disabled people by using the proposed system. A subject has paralysis in the face muscle of right side. Therefore, the proposed system needs to control the electric wheelchair by using the left side of face muscle. However, it is difficult to safety and fine control using the biological signal only. We introduce the semi-automatic control system using the laser range scanner. The motion of electric wheelchair is determined by both the laser range scanner and the motion of face muscle. From the result of monitoring test, the electric wheelchair could be driven safely bypassing the obstacle. And comparing with existed method of surface electromyogram applications, our method also improved the efficiency in SN ratio, success rate of the controlling proposed system and response time. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Surface Electromyogram Signal / Electric Wheelchair / Semi-Automatic Control / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 113, no. 486, NLP2013-183, pp. 107-110, March 2014. | |
| Paper # | NLP2013-183 | |
| Date of Issue | 2014-03-03 (NLP) | |
| ISSN | Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | NLP2013-183 |
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| Conference Information | |
| Committee | NLP |
| Conference Date | 2014-03-10 - 2014-03-11 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Sophia University |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | General |
| Paper Information | |
| Registration To | NLP |
| Conference Code | 2014-03-NLP |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Research on the semi-automatic electric wheelchair system controlled by s-EMG |
| Sub Title (in English) | |
| Keyword(1) | Surface Electromyogram Signal |
| Keyword(2) | Electric Wheelchair |
| Keyword(3) | Semi-Automatic Control |
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| 1st Author's Name | Kazuhiko Inami |
| 1st Author's Affiliation | University of Miyazaki (Univ. of Miyazaki) |
| 2nd Author's Name | Hiroki Tamura |
| 2nd Author's Affiliation | University of Miyazaki (Univ. of Miyazaki) |
| 3rd Author's Name | Koichi Tanno |
| 3rd Author's Affiliation | University of Miyazaki (Univ. of Miyazaki) |
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| Speaker | Author-1 |
| Date Time | 2014-03-11 13:30:00 |
| Presentation Time | 25 minutes |
| Registration for | NLP |
| Paper # | NLP2013-183 |
| Volume (vol) | vol.113 |
| Number (no) | no.486 |
| Page | pp.107-110 |
| #Pages | 4 |
| Date of Issue | 2014-03-03 (NLP) |
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