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DTSTART:20170312T070000
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DTSTART:20161106T060000
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UID:69b20f289abef
DTSTART;TZID=America/Toronto:20170531T130000
SEQUENCE:0
TRANSP:TRANSPARENT
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URL:https://uwaterloo.ca/artificial-intelligence-group/events/masters-thesi
 s-presentation-continuous-affect-prediction
LOCATION:DC - William G. Davis Computer Research Centre 200 University Aven
 ue West 3126 Waterloo ON N2L 3G1 Canada
SUMMARY:Master's Thesis Presentation: Continuous Affect Prediction from\nDi
 fferent Features and Modeling Approaches in\nEvaluation-Power-Activity Spa
 ce
CLASS:PUBLIC
DESCRIPTION:Speaker: Zhengkun Shang\, Master's Candidate\n\nEmotions are an
  essential part of human social interactions. By\nintegrating an automatic
  affect recognizer into an artificial system\,\nthe system can detect huma
 ns’ emotions and provide personal\nresponses. We aim to build a promptin
 g system that uses a virtual\nhuman with emotional interaction capabilitie
 s to help persons with a\ncognitive disability to complete daily activitie
 s independently.
DTSTAMP:20260312T005608Z
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