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SUMMARY:Towards Continuous Health Sensing with Everyday Clothing - Deepak 
 Ganesan (UMass Amherst)
DTSTART:20201102T140000Z
DTEND:20201102T150000Z
UID:TALK151948@talks.cam.ac.uk
CONTACT:Lorena Qendro
DESCRIPTION:*Abstract:* Computational textiles that allow us to use everyd
 ay clothing as a substrate for sensing offers an promising new direction f
 or wearable computing. In this talk\, I will describe several examples of 
 computational textiles that can measure a range of biometrics and can be l
 iterally “woven into the fabric of everyday life” as Mark Weiser artic
 ulated in his vision for ubiquitous computing. We demonstrate how we can i
 mperceptibly modify everyday loose-fitting clothing made of materials such
  as cotton to design unconventional ways to sense physiological and electr
 ical signals on the body. I will describe some of the challenges in design
 ing smart textiles for wearable health sensing and describe examples invol
 ving triboelectric textiles\, pressure-sensing textiles and gel electrodes
  in smart sleepwear to monitor` limb movements\, cardio-respiratory rhythm
 \, eye movements and brain signals. This work is done in collaboration wit
 h Trisha Andrew from Chemistry at UMass Amherst.\n\n*Bio:* Deepak Ganesan 
 is a Professor in the College of Information and Computer Sciences at UMas
 s Amherst and Director of the Center for Personalized Health Monitoring at
  UMass Amherst\, a $40 million center for fabrication of new health sensin
 g and intervention devices. His research focuses on ultra-low power backsc
 atter communication\, novel platforms and algorithms for mobile and wearab
 le health sensing\, learning and inference on multi-modal sensor data\, an
 d micro-energy harvesting. He is an ACM Distinguished Scientist.
LOCATION:Virtual (see abstract for Zoom link)
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