A Novel Biometric based on Neural Representations of Synergistic Hand Grasps
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2017-11-29
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Patel, Vrajeshri; Burns, Martin; Florescu, Ionut; Chandramouli, Rajarathnam; Vinjamuri, Ramana; A Novel Biometric based on Neural Representations of Synergistic Hand Grasps; Future Technologies Conference (FTC) 2017. https://saiconference.com/Downloads/FTC2017/Proceedings/113_Paper_271-A_Novel_Biometric_based_on_Neural_Representations.pdf
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Abstract
—To meet the growing need of robust and secure
identity verification systems, a new biometric based on neural
representations of synergistic hand grasps is proposed here. In
this preliminary study five subjects were asked to perform six
synergistic hand grasps that are shared most often in common
activities of daily living. Their scalp electroencephalographic
(EEG) signals were analyzed using 20 scalp electrodes. In our
previous work, we found that hand kinematics of these
synergistic grasps showed potential as a biometric. In the current
work, we asked if the neural representations of these synergistic
grasps can provide a unique signature to be a biometric. The
results show that across 300 entries, the system, in its best
configuration, achieved an accuracy of 92.2% and an EER of
~4.7% when tasked with identifying these five individuals. The
implications of these preliminary results and applications in the
near future are discussed. We believe that this study could lead to
the development of a novel biometric as a potential future
technology.