Received Day Month Year Revised Day Month Year Accepted Day Month Year
BibTeX
@MISC{Yi_receivedday,
author = {Weilie Yi and Dana Ballard},
title = {Received Day Month Year Revised Day Month Year Accepted Day Month Year},
year = {}
}
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Abstract
Modeling human behavior is important for the design of robots as well as humancomputer interfaces that use humanoid avatars. Constructive models have been built, but they have not captured all of the detailed structure of human behavior such as the moment-to-moment deployment and coordination of hand, head and eye gaze used in complex tasks. We show how this data from human subjects performing a task can be used to program a dynamic Bayes network (DBN) which in turn can be used to recognize new performance instances. As a specific demonstration we show that the steps in a complex activity such as sandwich making can be recognized by a DBN in real time.
