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Computational State Space Models for Activity and Intention Recognition. A Feasibility Study
BACKGROUND: Computational state space models (CSSMs) enable the knowledge-based construction of Bayesian filters for recognizing intentions and reconstructing activities of human protagonists in application domains such as smart environments, assisted living, or security. Computational, i. e., algor...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2014
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4220990/ https://www.ncbi.nlm.nih.gov/pubmed/25372138 http://dx.doi.org/10.1371/journal.pone.0109381 |