Abstract
Abstract A saccade contains fixations between rapid movements. Human movements are often saccadic in a fast forwarding video tape. In this paper, we present a novel model for pattern representation and pattern matching in saccadic motions, by converting a twodimensional saccadic motion sequence into a string of letters or numbers, with linear, extended chain code or direct encoding methods. This enables us to cluster and pattern matching with the fast text search algorithm. Our model is tested with the data of eye movement in video analysis and human movement in a building. The results show that the both extended chain code and linear encoding methods can be applied to eye gazing data analysis effectively. Extended chain code yields more accuracy in pattern clustering. However, it may accumulate errors when the motion pattern sequence is long and contain parallel subsequences. The direct labeling method works effectively in the Smart Building data analysis. Using the fast text algorithm, we found interesting patterns of the human movement.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
