Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

A study on a sensing system for artificial arm's control

Full metadata record
DC Field Value Language
dc.contributor.authorYoo, J.-M.-
dc.contributor.authorAhn, Y.-M.-
dc.date.accessioned2023-03-09T00:30:56Z-
dc.date.available2023-03-09T00:30:56Z-
dc.date.issued2006-10-
dc.identifier.issn0000-0000-
dc.identifier.urihttps://scholarworks.bwise.kr/cau/handle/2019.sw.cau/65411-
dc.description.abstractIn 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.extent6-
dc.language영어-
dc.language.isoENG-
dc.publisherIEEE-
dc.titleA study on a sensing system for artificial arm's control-
dc.typeArticle-
dc.identifier.doi10.1109/SICE.2006.314717-
dc.identifier.bibliographicCitation2006 SICE-ICASE International Joint Conference, pp 3083 - 3088-
dc.description.isOpenAccessN-
dc.identifier.wosid000246237600140-
dc.identifier.scopusid2-s2.0-34250721197-
dc.citation.endPage3088-
dc.citation.startPage3083-
dc.citation.title2006 SICE-ICASE International Joint Conference-
dc.type.docTypeConference Paper-
dc.subject.keywordAuthorArtificial arm-
dc.subject.keywordAuthorFlex sensor-
dc.subject.keywordAuthorMyoelectric-
dc.subject.keywordAuthorProsthesis-
dc.subject.keywordAuthorRehabilitation engineering-
dc.subject.keywordAuthorSurface electrode-
dc.subject.keywordPlusArtificial arms-
dc.subject.keywordPlusFlex sensors-
dc.subject.keywordPlusMuscular movements-
dc.subject.keywordPlusSurface electrodes-
dc.subject.keywordPlusAmplification-
dc.subject.keywordPlusElectrodes-
dc.subject.keywordPlusHealth care-
dc.subject.keywordPlusMyoelectrically controlled prosthetics-
dc.subject.keywordPlusSensors-
dc.subject.keywordPlusHuman rehabilitation equipment-
dc.relation.journalResearchAreaAutomation & Control Systems-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaRobotics-
dc.relation.journalWebOfScienceCategoryAutomation & Control Systems-
dc.relation.journalWebOfScienceCategoryComputer Science, Artificial Intelligence-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.relation.journalWebOfScienceCategoryRobotics-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Engineering > School of Mechanical Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetrics

Total Views & Downloads

BROWSE