Biometrics Based on Hand Synergies and Their Neural Representations

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dc.contributor.authorPatel, Vrajeshri
dc.contributor.authorBurns, Martin
dc.contributor.authorChandramouli, Rajarathnam
dc.contributor.authorVinjamuri, Ramana
dc.date.accessioned2021-05-17T16:47:14Z
dc.date.available2021-05-17T16:47:14Z
dc.date.issued2017-06-21
dc.description.abstractBiometric systems can identify individuals based on their unique characteristics. A new biometric based on hand synergies and their neural representations is proposed here. In this paper, ten subjects were asked to perform six hand grasps that are shared by most common activities of daily living. Their scalp electroencephalographic (EEG) signals were recorded using 32 scalp electrodes, of which 18 task-relevant electrodes were used in feature extraction. In our previous work, we found that hand kinematic synergies, or movement primitives, can be a potential biometric. In this paper, we combined the hand kinematic synergies and their neural representations to provide a unique signature for an individual as a biometric. Neural representations of hand synergies were encoded in spectral coherence of optimal EEG electrodes in the motor and parietal areas. An equal error rate of 7.5% was obtained at the system's best configuration. Also, it was observed that the best performance was obtained when movement specific EEG signals in gamma frequencies (30-50Hz) were used as features. The implications of these first results, improvements, and their applications in the near future are discussed.en_US
dc.description.urihttps://ieeexplore.ieee.org/document/7954762en_US
dc.format.extent8 pagesen_US
dc.genrejournal articlesen_US
dc.identifierdoi:10.13016/m2eqn8-8r2h
dc.identifier.citationV. Patel, M. Burns, R. Chandramouli and R. Vinjamuri, "Biometrics Based on Hand Synergies and Their Neural Representations," in IEEE Access, vol. 5, pp. 13422-13429, 2017, doi: 10.1109/ACCESS.2017.2718003.en_US
dc.identifier.urihttps://doi.org/10.1109/ACCESS.2017.2718003
dc.identifier.urihttp://hdl.handle.net/11603/21553
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.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.subjectbiometricsen_US
dc.subjectelectroencephalography (EEG)en_US
dc.subjecthand synergiesen_US
dc.subjectneural representationsen_US
dc.subjectmovement primitivesen_US
dc.titleBiometrics Based on Hand Synergies and Their Neural Representationsen_US
dc.typeTexten_US

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