A study on a sensing system for artificial arm's control
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Yoo, J.-M. | - |
dc.contributor.author | Ahn, Y.-M. | - |
dc.date.accessioned | 2023-03-09T00:30:56Z | - |
dc.date.available | 2023-03-09T00:30:56Z | - |
dc.date.issued | 2006-10 | - |
dc.identifier.issn | 0000-0000 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/65411 | - |
dc.description.abstract | In this paper, a sensing system for artificial arm's control is studied. The sensing system is consisted of 3 main parts. First part is a sensor system. It can measure how flexed the muscle is. So we use flex sensor. To get flexion signal, first sensor is attached the biceps brachii muscle. And other sensor is attached the triceps brachii muscle or other muscle in the left arm. The two signals that output from the sensor are passed to the amplification that has gain of 50-100 times and Low Pass Filter of cut off frequency of 200[Hz], And then arm's movement is classified 4 motions flexion and extension, pronation and supination by the sensing system. Finally, to verify the validity of the proposed sensing system we will be experiment to healthy people in their late twenties to middle thirties with different muscular movements in their arms were selected as participants. © 2006 ICASE. | - |
dc.format.extent | 6 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | IEEE | - |
dc.title | A study on a sensing system for artificial arm's control | - |
dc.type | Article | - |
dc.identifier.doi | 10.1109/SICE.2006.314717 | - |
dc.identifier.bibliographicCitation | 2006 SICE-ICASE International Joint Conference, pp 3083 - 3088 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.wosid | 000246237600140 | - |
dc.identifier.scopusid | 2-s2.0-34250721197 | - |
dc.citation.endPage | 3088 | - |
dc.citation.startPage | 3083 | - |
dc.citation.title | 2006 SICE-ICASE International Joint Conference | - |
dc.type.docType | Conference Paper | - |
dc.subject.keywordAuthor | Artificial arm | - |
dc.subject.keywordAuthor | Flex sensor | - |
dc.subject.keywordAuthor | Myoelectric | - |
dc.subject.keywordAuthor | Prosthesis | - |
dc.subject.keywordAuthor | Rehabilitation engineering | - |
dc.subject.keywordAuthor | Surface electrode | - |
dc.subject.keywordPlus | Artificial arms | - |
dc.subject.keywordPlus | Flex sensors | - |
dc.subject.keywordPlus | Muscular movements | - |
dc.subject.keywordPlus | Surface electrodes | - |
dc.subject.keywordPlus | Amplification | - |
dc.subject.keywordPlus | Electrodes | - |
dc.subject.keywordPlus | Health care | - |
dc.subject.keywordPlus | Myoelectrically controlled prosthetics | - |
dc.subject.keywordPlus | Sensors | - |
dc.subject.keywordPlus | Human rehabilitation equipment | - |
dc.relation.journalResearchArea | Automation & Control Systems | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Robotics | - |
dc.relation.journalWebOfScienceCategory | Automation & Control Systems | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.relation.journalWebOfScienceCategory | Robotics | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
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