Hand gesture recognition for the control of an exoskeleton

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dc.contributor.authorCastro, M.C.F.
dc.date.accessioned2022-01-12T22:01:34Z
dc.date.available2022-01-12T22:01:34Z
dc.date.issued2013-02-18
dc.description.abstractDespite the existence of many examples in multifunctional control systems there is a lack of studies that show hand gestures applied in daily life activities. Furthermore, isometric contractions, above certain thresholds, continue to be used once it is easier to deal with. However, it is a static contraction, that is not used to perform movements. Thus, a control system based on that is not intuitive, especially for subjects who have the limb with a diminished strength and that could also be benefited by rehabilitation devices, such as exoskeletons to train or regain function. In this context, the purpose of this work is to investigate the recognition of up to 4 hand gestures plus the neutral hand position, based on myoelectric signal obtained during the static phase at the end of the movement, without the use of any additional isometric contraction. Performance evaluation is done based on Linear Discriminant Analysis comparing the results of six myoelectric features and also the number of muscles necessary to achieve the best classification accuracy. The results show higher rates for the features in the frequency domain. The Spectral Magnitude Average reaches an average accuracy of 88.44% following by Spectral Moments with 85.56%. The best results achieved by each subject is variable, with a predominant use of 3 to 5 muscles depending on the feature that was used, with no standard pattern. © 2013 IEEE.
dc.identifier.citationCASTRO, M.C.F. Hand gesture recognition for the control of an exoskeleton. ISSNIP Biosignals and Biorobotics Conference, BRC, Feb. 2013.
dc.identifier.doi10.1109/BRC.2013.6487449
dc.identifier.issn2326-7771
dc.identifier.urihttps://repositorio.fei.edu.br/handle/FEI/4077
dc.relation.ispartofISSNIP Biosignals and Biorobotics Conference, BRC
dc.rightsAcesso Restrito
dc.subject.otherlanguageHand Gesture
dc.subject.otherlanguageLinear Discriminant Analysis (LDA)
dc.subject.otherlanguageMyoelectric Signal
dc.subject.otherlanguagePattern Recognition
dc.titleHand gesture recognition for the control of an exoskeleton
dc.typeArtigo de evento
fei.scopus.citations2
fei.scopus.eid2-s2.0-84876751586
fei.scopus.subjectClassification accuracy
fei.scopus.subjectHand gesture
fei.scopus.subjectHand-gesture recognition
fei.scopus.subjectIsometric contractions
fei.scopus.subjectLinear discriminant analysis
fei.scopus.subjectMultifunctional controls
fei.scopus.subjectMyoelectric signals
fei.scopus.subjectRehabilitation devices
fei.scopus.updated2024-07-01
fei.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84876751586&origin=inward
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