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dc.contributor.authorYin, Ying
dc.contributor.authorDavis, Randall
dc.date.accessioned2014-04-11T19:22:35Z
dc.date.available2014-04-11T19:22:35Z
dc.date.issued2013-12
dc.identifier.isbn9781450321297
dc.identifier.urihttp://hdl.handle.net/1721.1/86128
dc.description.abstractWe 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 (ATSR) of 0.923. The average final score is 0.9116. Compared with using the hand joint position from the Kinect SDK, using our hand tracking method gives a 3.7% absolute increase in the recognition F1 score.en_US
dc.language.isoen_US
dc.relation.isversionofhttp://dx.doi.org/10.1145/2522848.2532588en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceMIT web domainen_US
dc.titleGesture spotting and recognition using salience detection and concatenated hidden markov modelsen_US
dc.typeArticleen_US
dc.identifier.citationYing Yin and Randall Davis. 2013. Gesture spotting and recognition using salience detection and concatenated hidden markov models. In Proceedings of the 15th ACM on International conference on multimodal interaction (ICMI '13). ACM, New York, NY, USA, 489-494.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.mitauthorYin, Yingen_US
dc.contributor.mitauthorDavis, Randallen_US
dc.relation.journalProceedings of the 15th ACM on International conference on multimodal interaction (ICMI '13)en_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dspace.orderedauthorsYin, Ying; Davis, Randallen_US
dc.identifier.orcidhttps://orcid.org/0000-0001-5232-7281
mit.licenseOPEN_ACCESS_POLICYen_US
mit.metadata.statusComplete


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