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Rejection of Irrelevant Human Actions in Real-time Hidden Markov Model based Recognition Systems for Wearable Computers
Hidden Markov Model (HMM) is a well established technique for detecting patterns in a stream of observations. It performs well when the observation sequence does not contain unseen patterns that were not part of the training set. In an unconstrained environment, the observation sequence might contai...
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| Publicado en: | Proc Wirel Health |
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| Autores principales: | , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
2011
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5316460/ https://ncbi.nlm.nih.gov/pubmed/28224138 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1145/2077546.2077555 |
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