Tactile Myography: An Off-Line Assessment of Able-Bodied Subjects and One Upper-Limb Amputee

dc.contributor.authorCastellini, Claudio
dc.contributor.authorKõiva, Risto
dc.contributor.authorPasluosta, Cristian
dc.contributor.authorViegas, Carla
dc.contributor.authorEskofier, Björn
dc.date.accessioned2019-08-16
dc.date.available2023-10-16T21:31:27Z
dc.date.created2018
dc.date.issued2019-08-16
dc.description.abstractHuman-machine interfaces to control prosthetic devices still suffer from scarce dexterity and low reliability; for this reason, the community of assistive robotics is exploring novel solutions to the problem of myocontrol. In this work, we present experimental results pointing in the direction that one such method, namely Tactile Myography (TMG), can improve the situation. In particular, we use a shape-conformable high-resolution tactile bracelet wrapped around the forearm/residual limb to discriminate several wrist and finger activations performed by able-bodied subjects and a trans-radial amputee. Several combinations of features/classifiers were tested to discriminate among the activations. The balanced accuracy obtained by the best classifier/feature combination was on average 89.15% (able-bodied subjects) and 88.72% (amputated subject); when considering wrist activations only, the results were on average 98.44% for the able-bodied subjects and 98.72% for the amputee. The results obtained from the amputee were comparable to those obtained by the able-bodied subjects. This suggests that TMG is a viable technique for myoprosthetic control, either as a replacement of or as a companion to traditional surface electromyography.en
dc.identifier.citationTechnologies 6.2 (2018). <https://www.mdpi.com/2227-7080/6/2/38>
dc.identifier.doihttps://doi.org/10.3390/technologies6020038
dc.identifier.opus-id11547
dc.identifier.urihttps://open.fau.de/handle/openfau/11547
dc.identifier.urnurn:nbn:de:bvb:29-opus4-115473
dc.language.isoen
dc.publisherMDPI
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/deed.de
dc.subjecttactile myography
dc.subjecttactile sensing
dc.subjectassistive robotics
dc.subjecthuman-machine interfaces
dc.subjectupper-limb prosthetics
dc.subject.ddcDDC Classification::6 Technik, Medizin, angewandte Wissenschaften :: 60 Technik :: 600 Technik, Technologie
dc.titleTactile Myography: An Off-Line Assessment of Able-Bodied Subjects and One Upper-Limb Amputeeen
dc.typearticle
dcterms.publisherFriedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
local.date.prevpublished2018-03-23
local.journal.issue2
local.journal.titleTechnologies
local.journal.volume6
local.sendToDnbfree*
local.subject.fakultaetTechnische Fakultät
local.subject.importimport
local.subject.sammlungUniversität Erlangen-Nürnberg / Eingespielte Open Access Artikel / Eingespielte Open Access Artikel 2019
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