Sensing and Analytics for Human Machine Systems


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.


Prof. Honghai LIU
University of Portsmouth

Date & Time

27 Nov 2018 (Tuesday) 11:00 - 12:00


E11-4045 (University of Macau)

Organized by

Department of Computer and Information Science


Honghai Liu received his Ph.D from King’s College, University London, UK. He is a Chair in Human Machine Systems at the University of Portsmouth, UK. He previously held research appointments at the Universities of London, University of Aberdeen, and project leader appointments in large-scale industrial control and system integration industry. He is interested in intelligent sensing, biomechatronics, pattern recognition, intelligent video analytics, intelligent robotics and their practical applications with an emphasis on approaches that could make contribution to the intelligent connection of perception to action using contextual information. His research has been funded by UK research councils, EU FP7, the Leverhulme Trust, the Royal Society and industry partners. He has authored/co-authored more than 200 per-reviewed journals and conference papers. He is an IET Fellow and JSPS Fellow.

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.