Abstract
It requires innovative technologies and theoretical foundation of sensing and analytics as increasing complexity of modern systems with humans involved actively. The state of the art in human machine interface is largely dominant by solutions that are ad-hoc and application dependent. This talk attempts to summarize challenges for sensing and analytics from the perspective of human-machine systems, and presents a computational framework aiming at anchoring behaviors to hardcoded features. Two projects will be introduced to showcase the framework: human hand skill transfer and interaction with children with autism spectrum disorders. The talk will conclude with comments on open issues and challenges in human-machine systems.
Biography

Honghai is an energetic contributor to our research community. He was the chair for IEEE Systems, Man and Cybernetics Society’s Technical Committees, also a Member of the IEEE Society’s Board of Governors, leading the research theme on human machine systems. He is a Co-Editor-in-Chief for the Springer Journal of Intelligent Robotics and Applications and Associate Editor for IEEE Transactions on Human Machine Systems, IEEE Transactions on Industrial Electronics and IEEE Transactions on Industrial Informatics.
Instructors/Speakers
Prof. Honghai LIU
University of Portsmouth
UK
Date & Time
27 Nov 2018 (Tuesday) 11:00 – 12:00
Venue
E11-4045 (University of Macau)
Organized by
Department of Computer and Information Science