Data-Driven Analysis and Insight of Human Motion [thesis]
Author
Nicholas Sohre (Ph.D. 2021)
Abstract
Motion is a central element of the human experience. Artificial Intelligence (AI) and robotics technologies continue to transform society, but work is needed to enable solutions that engage with our motion-driven reality. Critical to an understanding human motion is the ability to model and accurately simulate virtual humans. To that end, my thesis provides data-driven analysis and insight for human motion. I identify two key aspects of realistic human motion simulations: being both natural in appearance while covering the rich variety of motions exhibited by humans. I describe how motion data can be leveraged to both simulate realistic motion, as well as validate simulation realism through a combination of data-driven analysis and user study approaches.
Link to full paper
Data-Driven Analysis and Insight of Human Motion
Keywords
artificial intelligence, robotics, motion analysis