Computational Intelligence for Brain-Computer Interface Applications

Speaker:  Zehong (Jimmy) Cao – Adelaide, SA, Australia
Topic(s):  Artificial Intelligence, Machine Learning, Computer Vision, Natural language processing


Brain-Computer interfaces (BCIs) enhance the capability of human brain activities to interact with the environment. Recent advancements in technology and machine learning algorithms have increased interest in electroencephalographic (EEG)-based BCI applications. EEG-based intelligent BCI systems can facilitate continuous monitoring of fluctuations in human cognitive states under monotonous tasks, which is both beneficial for people in need of healthcare support and general researchers in different domain areas. In this talk, the recent literature on EEG signal sensing technologies and computational intelligence approaches in BCI applications will be presented with a couple of innovative BCI-inspired applications and discuss future research directions in EEG-based BCI research.

About this Lecture

Number of Slides:  30
Duration:  60 minutes
Languages Available:  Chinese (Simplified), English
Last Updated: 

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