Abstract

Abstract: Wearable physiological sensing in uncontrolled environments faces unique challenges, particularly due to the variability of user activities and environmental factors. In this talk, I will present a variety of methods we have designed and implemented into our wearable prototypes to estimate heart rate and blood pressure levels in real-world settings, ranging from leveraging sensor redundancy, dynamically switching between sensor combinations and sample aggregates depending on signal characteristics, to explicitly modeling uncertainty as part of the estimated distributions over physiological metrics and the dynamics in them.

Bio: Christian is an assistant professor at the Department of Computer Science at ETH Zurich, where he leads the Sensing, Interaction & Perception Lab. His team’s research focuses on spatial computing, computational interaction, and mobile health. Christian’s research has received multiple best-paper awards and nominations at the premier venues in Human-Computer Interaction and Ubiquitous Computing. Before joining ETH Zurich, Christian was a principal researcher at Microsoft Research in Redmond, WA and a research scientist at Yahoo Research, CA before that. Christian holds a Ph.D. in Computer Science from the University of Potsdam in Germany. More information: https://siplab.org