Segmenting sign language into motor primitives with Bayesian binning
The endpoint trajectories of human movements fulfill characteristic power laws linking velocityand curvature. The parameters of these power laws typically vary between different segments of longer action sequences. These parameters might thus be exploited for the unsupervised segmentation of actions...
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| Auteurs principaux: | , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Frontiers Media S.A.
2013-05-01
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| Collection: | Frontiers in Computational Neuroscience |
| Sujets: | |
| Accès en ligne: | http://journal.frontiersin.org/Journal/10.3389/fncom.2013.00068/full |
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