Selection of suitable hand gestures for reliable myoelectric human computer interface

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dc.contributor.authorCastro M.C.F.
dc.contributor.authorArjunan S.P.
dc.contributor.authorKumar D.K.
dc.date.accessioned2019-08-19T23:45:15Z
dc.date.available2019-08-19T23:45:15Z
dc.date.issued2015
dc.description.abstract© Castro et al.Background: Myoelectric controlled prosthetic hand requires machine based identification of hand gestures using surface electromyogram (sEMG) recorded from the forearm muscles. This study has observed that a sub-set of the hand gestures have to be selected for an accurate automated hand gesture recognition, and reports a method to select these gestures to maximize the sensitivity and specificity. Methods: Experiments were conducted where sEMG was recorded from the muscles of the forearm while subjects performed hand gestures and then was classified off-line. The performances of ten gestures were ranked using the proposed Positive-Negative Performance Measurement Index (PNM), generated by a series of confusion matrices. Results: When using all the ten gestures, the sensitivity and specificity was 80.0% and 97.8%. After ranking the gestures using the PNM, six gestures were selected and these gave sensitivity and specificity greater than 95% (96.5% and 99.3%); Hand open, Hand close, Little finger flexion, Ring finger flexion, Middle finger flexion and Thumb flexion. Conclusion: This work has shown that reliable myoelectric based human computer interface systems require careful selection of the gestures that have to be recognized and without such selection, the reliability is poor.
dc.description.firstpage30
dc.description.issuenumber1
dc.description.volume14
dc.identifier.citationCASTRO, MARIA CLAUDIA F; ARJUNAN, SRIDHAR P; KUMAR, DINESH K. Selection of suitable hand gestures for reliable myoelectric human computer interface. Biomedical Engineering Online (Online), v. 14, n. 1, p. 30, 2015.
dc.identifier.doi10.1186/s12938-015-0025-5
dc.identifier.issn1475-925X
dc.identifier.urihttps://repositorio.fei.edu.br/handle/FEI/1161
dc.relation.ispartofBioMedical Engineering Online
dc.rightsAcesso Aberto
dc.subject.otherlanguageFinger flexion
dc.subject.otherlanguageFrequency domain
dc.subject.otherlanguageHand gesture
dc.subject.otherlanguageMyoelectric signal
dc.subject.otherlanguagePattern recognition
dc.titleSelection of suitable hand gestures for reliable myoelectric human computer interface
dc.typeArtigo
fei.scopus.citations31
fei.scopus.eid2-s2.0-84926641356
fei.scopus.subjectFinger flexion
fei.scopus.subjectFrequency domains
fei.scopus.subjectHand gesture
fei.scopus.subjectHand-gesture recognition
fei.scopus.subjectHuman computer interfaces
fei.scopus.subjectMyoelectric signals
fei.scopus.subjectPerformance measurements
fei.scopus.subjectSensitivity and specificity
fei.scopus.subjectAlgorithms
fei.scopus.subjectArtificial Limbs
fei.scopus.subjectElectromyography
fei.scopus.subjectForearm
fei.scopus.subjectGestures
fei.scopus.subjectHand
fei.scopus.subjectHumans
fei.scopus.subjectMachine Learning
fei.scopus.subjectMuscle, Skeletal
fei.scopus.subjectPattern Recognition, Automated
fei.scopus.subjectProsthesis Design
fei.scopus.subjectReproducibility of Results
fei.scopus.subjectSensitivity and Specificity
fei.scopus.subjectUser-Computer Interface
fei.scopus.subjectYoung Adult
fei.scopus.updated2025-02-01
fei.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84926641356&origin=inward
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