Wearable technologies: Real time eye movement analysis framework
University of Oklahoma, USA
As eye tracking is becoming available in wearable or portable devices, eye movement (EM) analysis will be used to provide real time alerts, feedback, and/or assistive information for diversified objectives when performing tasks. However, we lack the methodologies to effectively analyze real time EM attributes including eye fixation numbers, durations, and especially visual scanpath sequences (i.e. time-ordered eye fixation sequences). In this presentation, my recently developed EM data analysis and visualization methods will be explained followed by an introduction of a proposed systemic approach to analyze the real time EM data through the concepts of hierarchical areas of interests and objective-based EM thresholds. The framework will facilitate the automatic analysis of real time EM data to support smart technologies.
Ziho Kang received his Ph.D. in the School of Industrial Engineering at Purdue University and is an Assistant Professor in the School of Industrial and Systems Engineering at the University of Oklahoma. He previously worked at Samsung and have performed research for the National Aeronautics and Space Administration (NASA) and Collaborative Adaptive Sensing of the Atmosphere (CASA). He is currently collaborating with the Federal Aviation Administration (FAA) on several research projects to evaluate and enhance human performance. His specialty is in developing eye tracking analysis algorithms in order to support smart technologies that can analyze, predict, and increase human performance. He received the Andrew P. Sage Best IEEE Transactions Paper Award in 2015, and is a reviewer for the IEEE Transactions on Systems, Man, and Cybernetics, Human-Machine Systems, and Affective Computing. He is currently the Chair Elect of the Training Technical Group within the Human Factors and Ergonomics Society.