Keynote Ruzena BajcsyUniversity of California, Berkeley, USA14:00-14:50 Framework for Individualized Dynamical Modeling of Human Motion |
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Abstract: We are developing individualized musculoskeletal models to model movement dynamics based on non-invasive, multi-modal measurements (e.g., motion capture, accelerometry, EMG). The models are aimed to provide information on kinematic constraints and dynamic parameters relating to exerted forces and torques during a movement. Furthermore, we are developing automatic segmentation methods that partition continuous movement into motion primitives.
Biography: Ruzena Bajcsy is a Professor of Electrical Engineering and Computer Sciences and NEC chair holder at the University of California, Berkeley. She received the ACM/Association for the Advancement of Artificial Intelligence Allen Newell Award, the Benjamin Franklin Medal for Computer and Cognitive Sciences, and the IEEE Robotics and Automation Award for her contributions in the field of robotics and automation. She was named as one of the 50 most important women in science by the Discover Magazine.
Presentation Slides: RoboCup_Symposium_2016_Presentation_Ruzena_Bajcsy.pdf