Pavan Turaga

• 
  Topological methods for robust human activity modeling
  Pavan Turaga
  In this talk, we present an overview of our work in the area of activity analysis from a diverse set of modalities such as video, motion capture, wearables, and more. We show how topological descriptors derived from the time-series of human activity can lead to robust and invariant representations for a variety of problems. We also discuss our recent work in new topological featurization approaches using perturbation methods, and fusion with deep-learning. Our applications include recognition of human activities as well as uncovering underlying qualities of human activity for gait and balance-related health interventions.