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SUMMARY:Dealing with uncertainty in physiological sensing in the wild - Ch
 ristian Holz\, ETHZ
DTSTART:20240123T160000Z
DTEND:20240123T170000Z
UID:TALK203647@talks.cam.ac.uk
CONTACT:Cecilia Mascolo
DESCRIPTION:Abstract: Wearable physiological sensing in uncontrolled envir
 onments faces unique challenges\, particularly due to the variability of u
 ser activities and environmental factors. In this talk\, I will present a 
 variety of methods we have designed and implemented into our wearable prot
 otypes to estimate heart rate and blood pressure levels in real-world sett
 ings\, ranging from leveraging sensor redundancy\, dynamically switching b
 etween sensor combinations and sample aggregates depending on signal chara
 cteristics\, to explicitly modeling uncertainty as part of the estimated d
 istributions over physiological metrics and the dynamics in them.\n\nBio: 
 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 interact
 ion\, and mobile health. Christian's research has received multiple best-p
 aper awards and nominations at the premier venues in Human-Computer Intera
 ction and Ubiquitous Computing. Before joining ETH Zurich\, Christian was 
 a principal researcher at Microsoft Research in Redmond\, WA and a researc
 h scientist at Yahoo Research\, CA before that. Christian holds a Ph.D. in
  Computer Science from the University of Potsdam in Germany. More informat
 ion: https://siplab.org
LOCATION:Computer Lab\, FW26 and Online
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