Identifying individuals using EEG-based brain connectivity patterns

• Main Authors: Hussain, Hadri, Ting, Chee Ming, A. Jalil, M., Ray, Kanad, Rizvi, S. Z. H., Kavikumar, J., M. Noman, Fuad, Ahmad Zubaidi, A. L., Low, Yin Fen, Sh. Hussain, Sh. Hussain, Mahmud, Mufti, Kaiser, M. Shamim, Ali, J.
• Format: Conference or Workshop Item
• Published: 2021
• Subjects: QC Physics
• Online Access: http://eprints.utm.my/id/eprint/96066/; http://dx.doi.org/10.1007/978-3-030-86993-9_12
• Institution: Universiti Teknologi Malaysia

Considering the recent rapid advancements in digital technology, electroencephalogram (EEG) signal is a potential candidate for a robust human biometric authentication system. In this paper the focus of investigation is the use of brain activity as a new modality for identification. Univariate model...