Upper limb posture estimation in robotic and virtual reality-based rehabilitation

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dc.citation.journalTitleBIOMED RESEARCH INTERNATIONALeng
dc.contributor.authorCortés C
dc.contributor.authorArdanza A
dc.contributor.authorMolina-Rueda F
dc.contributor.authorCuesta-Gómez A
dc.contributor.authorUnzueta L
dc.contributor.authorEpelde G
dc.contributor.authorRuiz OE
dc.contributor.authorDe Mauro A
dc.contributor.authorFlorez J
dc.contributor.departmentUniversidad EAFIT. Departamento de Ingeniería Mecánicaspa
dc.contributor.researchgroupLaboratorio CAD/CAM/CAEspa
dc.date.accessioned2021-04-16T21:59:54Z
dc.date.available2021-04-16T21:59:54Z
dc.date.issued2014-07-08
dc.description.abstractNew motor rehabilitation therapies include virtual reality (VR) and robotic technologies. In limb rehabilitation, limb posture is required to (1) provide a limb realistic representation in VR games and (2) assess the patient improvement. When exoskeleton devices are used in the therapy, the measurements of their joint angles cannot be directly used to represent the posture of the patient limb, since the human and exoskeleton kinematic models differ. In response to this shortcoming, we propose a method to estimate the posture of the human limb attached to the exoskeleton. We use the exoskeleton joint angles measurements and the constraints of the exoskeleton on the limb to estimate the human limb joints angles. This paper presents (a) the mathematical formulation and solution to the problem, (b) the implementation of the proposed solution on a commercial exoskeleton system for the upper limb rehabilitation, (c) its integration into a rehabilitation VR game platform, and (d) the quantitative assessment of the method during elbow and wrist analytic training. Results show that this method properly estimates the limb posture to (i) animate avatars that represent the patient in VR games and (ii) obtain kinematic data for the patient assessment during elbow and wrist analytic rehabilitation. © 2014 Camilo Cortés et al.eng
dc.identifierhttps://eafit.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=1175
dc.identifier.doi10.1155/2014/821908
dc.identifier.issn23146133
dc.identifier.issn23146141spa
dc.identifier.otherWOS;000339251600001
dc.identifier.otherPUBMED;25110698
dc.identifier.otherSCOPUS;2-s2.0-84904880616
dc.identifier.urihttp://hdl.handle.net/10784/29513
dc.languageeng
dc.publisherHINDAWI PUBLISHING CORPORATION
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84904880616&doi=10.1155%2f2014%2f821908&partnerID=40&md5=b3d8af6982f2c39d2eb8ee6848ccf7af
dc.rightshttps://v2.sherpa.ac.uk/id/publication/issn/2314-6133
dc.sourceBIOMED RESEARCH INTERNATIONAL
dc.subject.keywordalgorithmeng
dc.subject.keywordarmeng
dc.subject.keywordarticleeng
dc.subject.keywordbody postureeng
dc.subject.keywordconstraint induced therapyeng
dc.subject.keywordelboweng
dc.subject.keywordelbow flexioneng
dc.subject.keywordexerciseeng
dc.subject.keywordexoskeletoneng
dc.subject.keywordforearmeng
dc.subject.keywordgrip strengtheng
dc.subject.keywordhandeng
dc.subject.keywordhand gripeng
dc.subject.keywordhumaneng
dc.subject.keywordinvoluntary movementeng
dc.subject.keywordjointeng
dc.subject.keywordjoint mobilityeng
dc.subject.keywordkinematicseng
dc.subject.keywordlimb movementeng
dc.subject.keywordmeasurement accuracyeng
dc.subject.keywordmovement (physiology)eng
dc.subject.keywordoscillationeng
dc.subject.keywordpatient assessmenteng
dc.subject.keywordrange of motioneng
dc.subject.keywordrehabilitationeng
dc.subject.keywordroboticseng
dc.subject.keywordrotationeng
dc.subject.keywordshouldereng
dc.subject.keywordsimulatoreng
dc.subject.keywordspineeng
dc.subject.keywordupper limb posture estimationeng
dc.subject.keywordvirtual realityeng
dc.subject.keywordweighteng
dc.subject.keywordwristeng
dc.subject.keywordbiomechanicseng
dc.subject.keywordbody postureeng
dc.subject.keywordcomputer interfaceeng
dc.subject.keywordcomputer simulationeng
dc.subject.keywordjoint characteristics and functionseng
dc.subject.keywordpathophysiologyeng
dc.subject.keywordprocedureseng
dc.subject.keywordrecreationeng
dc.subject.keywordrehabilitationeng
dc.subject.keywordtheoretical modeleng
dc.subject.keywordBiomechanical Phenomenaeng
dc.subject.keywordComputer Simulationeng
dc.subject.keywordExerciseeng
dc.subject.keywordHumanseng
dc.subject.keywordJointseng
dc.subject.keywordModelseng
dc.subject.keywordTheoreticaleng
dc.subject.keywordPostureeng
dc.subject.keywordRange of Motioneng
dc.subject.keywordArticulareng
dc.subject.keywordRehabilitationeng
dc.subject.keywordRoboticseng
dc.subject.keywordUpper Extremityeng
dc.subject.keywordUser-Computer Interfaceeng
dc.subject.keywordVideo Gameseng
dc.titleUpper limb posture estimation in robotic and virtual reality-based rehabilitationeng
dc.typeinfo:eu-repo/semantics/articleeng
dc.typearticleeng
dc.typeinfo:eu-repo/semantics/publishedVersioneng
dc.typepublishedVersioneng
dc.type.localArtículospa

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