Generalizability of Hand Kinematic Synergies derived using Independent Component Analysis

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dc.contributor.authorPei, Dingyi
dc.contributor.authorAdali, Tulay
dc.contributor.authorVinjamuri, Ramana
dc.date.accessioned2022-01-21T15:34:14Z
dc.date.available2022-01-21T15:34:14Z
dc.date.issued2021-12-09
dc.description2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)en_US
dc.description.abstractIn this paper, hand synergies were derived using independent component analysis (ICA) and compared against synergies derived from our previous methods using principal component analysis (PCA). For ICA, we used two algorithms — Infomax and entropy bound minimization (EBM). For all the methods, the synergies were extracted from rapid hand grasps. The extracted synergies were then tested for generalizability in reconstructing natural hand grasps and American Sign Language (ASL) postures that were different from rapid grasps. The results indicate that the synergies derived from ICA were able to generalize only marginally better when compared to those from PCA. Among the two ICA methods, Infomax performed slightly better in yielding lower reconstruction error while EBM performed better in sparse selection of synergies. The implications and future scope were discussed.en_US
dc.description.urihttps://ieeexplore.ieee.org/document/9630420en_US
dc.format.extent4 pagesen_US
dc.genreconference papers and proceedingsen_US
dc.genrepostprintsen_US
dc.identifierdoi:10.13016/m2cho4-14lc
dc.identifier.citationD. Pei, T. Adali and R. Vinjamuri, "Generalizability of Hand Kinematic Synergies derived using Independent Component Analysis," 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021, pp. 621-624, doi: 10.1109/EMBC46164.2021.9630420.en_US
dc.identifier.urihttps://doi.org/10.1109/EMBC46164.2021.9630420
dc.identifier.urihttp://hdl.handle.net/11603/24042
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Student Collection
dc.rights© 20XX IEEE.  Personal use of this material is permitted.  Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en_US
dc.titleGeneralizability of Hand Kinematic Synergies derived using Independent Component Analysisen_US
dc.typeTexten_US
dcterms.creatorhttps://orcid.org/0000-0001-7756-3678
dcterms.creatorhttps://orcid.org/0000-0003-0594-2796
dcterms.creatorhttps://orcid.org/0000-0003-1650-5524

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