Learning Activity Patterns Performed With Emotion.

MOCO(2016)

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摘要
This paper is a preliminary work towards the design of a model able to generate realistic motion sequences conditioned on a number of contextual variables like age, morphology, emotion etc. We focus in a first step on the design of contextual markovian models able to perform recognition of activities performed under various emotions even in the case no training samples are available for a particular (activity, emotion) pair, a zero shot learning setting.
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关键词
activity recognition,activity with emotion,virtual agent,machine learning
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