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SUMMARY:Activity recognition in naturalistic environments - Nils Yannick H
 ammerla\, Newcastle University
DTSTART:20151202T130000Z
DTEND:20151202T140000Z
UID:TALK62596@talks.cam.ac.uk
CONTACT:44515
DESCRIPTION:The development of automated systems for the analysis of human
  movement and behaviour is a major aim of ubiquitous computing. While the 
 untapped potential especially for medical and lifestyle applications is hu
 ge\, so far\, there are barely any systems sufficiently robust to be usefu
 l under real-life conditions. In this talk I will discuss some of the reas
 ons for this lack of in-the-wild deployments\, how deep learning can addre
 ss some of the emerging issues\, and how practitioners in ubicomp / machin
 e learning need to adapt study designs and evaluation approaches for natur
 alistic settings like the private home.
LOCATION:Small Lecture Theatre\, Microsoft Research Ltd\, 21 Station Road\
 , Cambridge\, CB1 2FB
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