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2011
ACM

A comparison of machine learning techniques for modeling human-robot interaction with children with autism

8 years 2 months ago
A comparison of machine learning techniques for modeling human-robot interaction with children with autism
Several machine learning techniques are used to model the behavior of children with autism interacting with a humanoid robot, comparing a static model to a dynamic model using hand-coded features. Good accuracy (over 80%) is achieved in predicting child vocalizations; directions for future approaches to modeling the behavior of children with autism are suggested. Categories and Subject Descriptors
Elaine Short, David Feil-Seifer, Maja J. Mataric
Added 28 Aug 2011
Updated 28 Aug 2011
Type Journal
Year 2011
Where HRI
Authors Elaine Short, David Feil-Seifer, Maja J. Mataric
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