BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:Thesis defence: "Sensor and the Beast: Generalised Methods to Reco
 gnise Animal Behaviour and Quantify Energy Expenditure Using Inertial Sens
 ors\, and Applications"
DTSTART:20200806T180000
DTSTAMP:20260509T161037Z
UID:691ed31ce8fbe19e79976326cca954b577ac4eff3a0179ceb965b2f2
CATEGORIES:Public Science Events
DESCRIPTION:Pritish Chakravarty\nMiniature sensors like accelerometers and
  magnetometers can be affixed to wild animals to remotely understand how t
 hey lead their otherwise unobservable lives. But how do we reliably proces
 s sensor data\, and how much can we infer?\n\nIn this thesis\, I present '
 biomechanically aware' algorithms to accurately recognise animal behaviour
  and estimate energy expenditure from sensor data. I then apply these algo
 rithms to understand how meerkats - group-living carnivores found in the K
 alahari Desert (the same animal as Timon in Lion King) - use different st
 rategies to look for food based on their group 'rank'.\n\nThis thesis was 
 supervised by Prof. Kamiar Aminian\, head of the Laboratory of Movement An
 alysis and Measurement\, and was done in collaboration with the Population
  Ecology Group at the University of Zurich. Data for this SNSF-funded proj
 ect (grant no. CR32I3_159743) were collected at the Kalahari Meerkat Proje
 ct in South Africa.
LOCATION:Video-conference (Zoom) https://epfl.zoom.us/j/97238476671
STATUS:CONFIRMED
END:VEVENT
END:VCALENDAR