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Carmona et al., 2012 - Google Patents

A performance evaluation of HMM and DTW for gesture recognition

Carmona et al., 2012

Document ID
3201918692786905405
Author
Carmona J
Climent J
Publication year
Publication venue
Iberoamerican Congress on Pattern Recognition

External Links

Snippet

It is unclear whether Hidden Markov Models (HMMs) or Dynamic Time Warping (DTW) techniques are more appropriate for gesture recognition. In this paper, we compare both methods using different criteria, with the objective of determining the one with better …
Continue reading at link.springer.com (other versions)

Classifications

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    • G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
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