Subspace techniques for task-independent EEG person identification

© 2019 IEEE. There has been a growing interest in studying electroencephalography signals (EEG) as a possible biometric. The brain signals captured by EEG are rich and carry information related to the individual, tasks being performed, mental state, and other channel/measurement noise due to session...

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Bibliographic Details
Main Authors: Kumar, Mari Ganesh (Author), Saranya, MS (Author), Narayanan, Shrikanth (Author), Sur, Mriganka (Author), Murthy, Hema A (Author)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE), 2021-12-06T18:15:45Z.
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