Report Title: Towards Enhanced EEG-based Authentication with Motor Imagery Brain-Computer Interface

Reporter: Dr. Weizhi Meng

Unit: Technical University of Denmark (DTU), Denmark

Report Time: 16:00-17:00, July 6, 2023 (Thursday)

Report Location: Third Meeting Room, Emerald Science and Education Building A

Report Introduction:

Electroencephalography (EEG) is the record of the electrogram of the electrical activity on the scalp typically using non-invasive electrodes. In recent years, many studies have started using EEG as a human characteristic to construct biometric identification or authentication. Being a kind of behavioral characteristics, EEG has its natural advantages whereas some characteristics have not been fully evaluated. For instance, we find that Motor Imagery (MI) brain-computer interface is mainly used for improving neurological motor function, but has not been widely studied in EEG authentication. Currently, there are many mature methods for understanding such signals. This talk will introduce one of our work - an enhanced EEG authentication framework with Motor Imagery, by offering a complete EEG signal processing and identity verification. Our framework integrates signal preprocess, channel selection and deep learning classification to provide an end-to-end authentication.

Reporter Introduction:

Dr. Weizhi Meng is currently an Associate Professor in the Department of Applied Mathematics and Computer Science, Technical University of Denmark (DTU), Denmark. He obtained his Ph.D. degree in Computer Science from the City University of Hong Kong, Hong Kong. Prior to joining DTU, he worked as Research Scientist in Institute for Infocomm Research, A*Star, Singapore. He won the Outstanding Academic Performance Award during his doctoral study, and is a recipient of the Hong Kong Institution of Engineers (HKIE) Outstanding Paper Award for Young Engineers/Researchers in both 2014 and 2017. He also received the IEEE ComSoc Best Young Researcher Award for Europe, Middle East, & Africa Region (EMEA) in 2020. His primary research interests are cyber security and intelligent technology in security, including intrusion detection, IoT security, biometric authentication, and blockchain. He serves as associate editors / editorial board members for many reputed journals such as IEEE TDSC, as well as PC chair for various international conferences. He is an ACM Distinguished Speaker.