Department of Electrical and Computer Engineering, University of Waterloo
Talk Title: Human Motion Measurement and Analysis: from the Lab to the Clinic and the Home
Abstract: Improved understanding and modeling of human movement can be used to teach robots to perform tasks, allow robots to safely and intuitively interact with humans, and to provide assessment and appropriate assistance to restore and facilitate movement. Human motion measurement and analysis is a challenging problem, due to sensor and measurement system limitations, high dimensionality, and large spatial and temporal variability of movement. In this talk, I will describe our work developing tools for automated human motion measurement and analysis suitable for lab, clinical and home environments. I will show examples of on-line motion measurement, segmentation, individualized model learning and analysis methods and their clinical applications in rehabilitation and motor symptom assessment.
Bio: Dana Kulić received the combined B.A.Sc. and M.Eng. degrees in electromechanical engineering, and the Ph.D. degree in mechanical engineering from the University of British Columbia, Canada, in 1998 and 2005, respectively. From 2006 to 2009, she was a JSPS Postdoctoral Fellow and a Project Assistant Professor at the Nakamura Laboratory at the University of Tokyo. She is currently an Associate Professor at the Electrical and Computer Engineering Department at the University of Waterloo, Canada. In 2014, she was awarded Ontario’s Early Researcher award for her work on rehabilitation and human-robot interaction. Her research interests include human motion analysis, robot learning, humanoid robots, and human-machine interaction.