Prof.Zeng-Guang Hou

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Speech Title:

Intelligent Interaction Control Based on BCI for Rehabilitation Robots

Abstract:

Rehabilitation is useful for people who due to neural system damages have lost motor or cognitive abilities that they need for daily life. Robots are providing new means for functional rehabilitation of those patients, and there are growing demands for rehabilitation robots. However, the medical robots for assistive rehabilitation training face many scientific and technical challenges. For example, efficient, reliable, safe and intelligent interaction control is an important difficulty preventing their practical applications. In this talk, we will discuss some experimental and clinical attempts and aradigm, on acquisition and processing of multi-modal bio-signals, brain-computer- interface based intelligent interaction and closed loop control methods for rehabilitation robots, and also prospects for the future development.

Bio of lecturer:

Zeng-Guang Hou is a Professor and Deputy Director of the State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences (CAS). He is a VP of Chinese Association of Automation (CAA), and the Asia Pacific Neural Network Society (APNNS). Dr. Hou is a Fellow of CAA and IEEE. He also serves as an AE of IEEE Transactions on Cybernetics, SMC Magazine, IEEE/CAA Journal of Automatica Sinica, and an editorial board member of Neural Networks. Dr. Hou was a recipient of the Dennis Gabor Award of the International Neural Network Society (INNS) in 2023, the Outstanding Achievement Award of Asia Pacific Neural Network Society (APNNS) in 2017, and IEEE Transactions on Neural Networks Outstanding Paper Award in 2013, etc. His research interests include computational intelligence, robotics and intelligent systems.

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