Data-Driven Analysis and Insight of Human Motion [thesis]
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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

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