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