Human Activity Recognition and Behaviour Analysis (PDF)

Liming Chen is Professor of Computer Science in the School of Computer Science and Informatics, De Montfort University, UK. He received his B.Eng and M.Eng from Beijing Institute of Technology, Beijing, China, and his Ph.D in Artificial Intelligence from De Montfort University, UK. His research interests include data analytics, pervasive computing, user-centered intelligent systems, smart environments and their application in smart health and care. Liming is an IET Fellow, an IEEE Senior Member, and a co-founder and co-director of the IEEE CIS "User-centred Smart Systems" task force. He has secured multi-million research funding from the UK and European Union funding bodies, industry and third countries, and acted as a coordinator and principal investigator. Liming has over 200 peer-reviewed publications in internationally recognized journals and conferences, spanning both theoretical and applied research. He plays an active role in various scholarly activities, serving as a general or program chair for prestigious international conferences, and as associate editors and guest editor for a number of high-profile journals. He has delivered invited talks, keynotes and seminars at various forums, conferences, industry and academic events.
Chris D. Nugent is currently the Head of the School of Computing at Ulster University and leads the Pervasive Computing Research Group. He received a Bachelor of Engineering in Electronic Systems and DPhil in Biomedical Engineering both from Ulster University and currently holds the position of Professor of Biomedical Engineering.
His research within biomedical engineering addresses the themes of the development and evaluation of technologies to support pervasive healthcare within smart environments. Specifically, this has involved research in the topics of mobile based reminding solutions, activity recognition and behaviour modelling and more recently technology adoption modelling. He has published over 450 papers in these areas