Evidence of Task-Independent Person-Specific Signatures in EEG Using Subspace Techniques

Evidence of Task-Independent Person-Specific Signatures in EEG Using Subspace Techniques

Electroencephalography (EEG) signals are promising as alternatives to other biometrics owing to their protection against spoofing. Previous studies have focused on capturing individual variability by analyzing task/condition-specific EEG. This work attempts to model biometric signatures independent...

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Bibliographic Details
Main Authors: Kumar, Mari Ganesh, Narayanan, Shrikanth, Sur, Mriganka, Murthy, Hema A
Other Authors: Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE) 2021
Online Access:https://hdl.handle.net/1721.1/138333

Internet

https://hdl.handle.net/1721.1/138333

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