Gesture spotting and recognition using salience detection and concatenated hidden markov models

Gesture spotting and recognition using salience detection and concatenated hidden markov models

We developed a gesture salience based hand tracking method, and a gesture spotting and recognition method based on concatenated hidden Markov models. A 3-fold cross validation using the ChAirGest development data set with 10 users gives an F1 score of 0.907 and an accurate temporal segmentation rate...

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Bibliographic Details
Main Authors: Yin, Ying (Contributor), Davis, Randall (Contributor)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: 2014-04-11T19:22:35Z.
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