In this talk, we will describe a general framework for on-line measurement and analysis of human movement that can be used to provide feedback to patients and clinicians during the performance of rehabilitation exercises. The framework can support a variety of measurement modalities, such as motion capture and inertial measurement units, and can handle common measurement issues including drift, noise and individualized movement characteristics. Next, the pose data is segmented into exercise segments, identifying the start and end of each motion repetition automatically. The pose and segmentation data is visualized in a user interface, allowing the patient to simultaneously view their own movement overlaid with an animation of the ideal movement. We will present results of user studies analyzing the system capabilities for gait measurement of stroke patients undergoing gait rehabilitation, and demonstrating the significant benefits of feedback with patients undergoing rehabilitation following hip and knee replacement surgery.
Dana Kulić received the combined B. A. Sc. and M. Eng. degree in electro-mechanical engineering, and the Ph. D. degree in mechanical engineering from the University of British Columbia, Canada, in 1998 and 2005, respectively. From 2002 to 2006, Dr. Kulić worked at the CARIS Lab at the University of British Columbia, developing human-robot interaction strategies to quantify and maximize safety during the interaction. From 2006 to 2009, Dr. Kulić was a JSPS Post-doctoral Fellow and a Project Assistant Professor at the Nakamura-Yamane Laboratory at the University of Tokyo, Japan, working on algorithms for incremental learning of human motion patterns for humanoid robots.
Dr. Kulić is currently an Associate Professor at the Electrical and Computer Engineering Department at the University of Waterloo, Canada. In 2014, she was awarded the Ontario Early Researcher Award for her work on human motion analysis for rehabilitation and human-robot interaction. Dr. Kulić is the founding co-chair of the IEEE Robotics and Automation Society Technical Committee on Human Motion Understanding. Her research interests include human motion understanding, human-robot interaction and mechatronics.