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...
Main Authors: | Yin, Ying, Davis, Randall |
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Other Authors: | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
Format: | Article |
Language: | en_US |
Published: |
2014
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Online Access: | http://hdl.handle.net/1721.1/86128 https://orcid.org/0000-0001-5232-7281 |
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