Recognition of temporal patterns: from engineering to psychology and back again.
An overview is presented on research conducted in our lab to quantify the underlying principles behind the recognition of temporal patterns. We have been developing a theory based upon pattern matching and time-series analysis, which allows us to model and understand how humans recognize familiar patterns evolving over time and how performance degrades with noise. While our studies are primarily scientific in nature, the work has application beyond the elucidation of psychological and physiological mechanisms. We illustrate an application of these ideas to computer-based human identification through gait analysis. This study also illustrates a novel approach to interdisciplinary research by integrating experimental psychology with that of engineering design.
Wong
Willy
W
Department of Electrical and Computer Engineering and Institute of Biomaterials and Biomedical Engineering, University of Toronto, Ontario. willy@eecg.utoronto.ca
Rogers
Edward S
ES
D000465:Algorithms; D001288:Attention; D001698:Biomedical Engineering; D003210:Concept Formation; D004193:Discrimination Learning; D018732:Forensic Anthropology; D005684:Gait; D006801:Humans; D008390:Markov Chains; D009039:Motion Perception; D016571:Neural Networks, Computer; D012815:Signal Processing, Computer-Assisted; D012984:Software; D013998:Time Perception