Biometrics Based on Hand Synergies and Their Neural Representations
Biometric 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. Th...
Main Authors: | Vrajeshri Patel, Martin Burns, Rajarathnam Chandramouli, Ramana Vinjamuri |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2017-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/7954762/ |
Similar Items
-
Hand Grasping Synergies As Biometrics
by: Ramana Vinjamuri, et al.
Published: (2017-05-01) -
Neural Decoding of Synergy-Based Hand Movements Using Electroencephalography
by: Dingyi Pei, et al.
Published: (2019-01-01) -
Hand Biometric Recognition Based on Fused Hand Geometry and Vascular Patterns
by: Soowon Kim, et al.
Published: (2013-02-01) -
On the Feasibility of Interoperable Schemes in Hand Biometrics
by: Miguel A. Ferrer, et al.
Published: (2012-02-01) -
Kinematic synergies of hand grasps: a comprehensive study on a large publicly available dataset
by: Néstor J. Jarque-Bou, et al.
Published: (2019-05-01)