Abstract: Eye movement data can show the cognitive process in performing tasks to a certain extent. The existing researches on eye movement analysis are usually based on statistics, and it is difficult to show the correlation between the information associated within the scene. Other probabilistic algorithms usually focus on user feature recognition based on eye movement representation. However, the analysis of eye movement tends to have a coarse granularity, making it challenging to accurately discover human perception information in highly dynamic environments. In this report, the concept of timedomain and frequency-domain analysis of eye movement area of interest is proposed, within which, the frequent pattern mining method and visual cognitive graph model are constructed to mine the relationship between the areas of interest. Finally, some application examples of this model in the novice expert paradigm are presented.

Biography: Weiwei Yu received her B.S. and M.S. in 2003 and 2006 respectively. She was selected by the “Sino-French doctor school” in 2006 and enrolled in LISSI (Images, Signals and Intelligence Systems Laboratory) Paris 12 University for Ph.D. education. She received her first doctoral degree from Northwestern Polytechnical University in 2010 and received the second doctoral degree in information science from Paris EST University in 2011. She is now an associate professor and doctoral supervisor in Northwestern Polytechnical University. Her research expertise is mainly in artificial intelligence in applied ergonomics and rehabilitation robot. She published the monograph “Contribution to study of intelligent adaptive control strategies: Application to control of complex dynamic systems”. She has more than 40 published papers in journals and conference, include Computer Methods and Programs in Biomedicine, ISA Transactions, IEEE Transactions on Multimedia, and etc. She published 20 Chinese and British invention patents in the field of rehabilitation robot and human-machine interaction system and some of them applied well in the industrial and hospital.