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Human Activity Recognition Using Gaussian Mixture Hidden Conditional Random Fields
In healthcare, the analysis of patients' activities is one of the important factors that offer adequate information to provide better services for managing their illnesses well. Most of the human activity recognition (HAR) systems are completely reliant on recognition module/stage. The inspirat...
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| Publicado no: | Comput Intell Neurosci |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Hindawi
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6935449/ https://ncbi.nlm.nih.gov/pubmed/31915429 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2019/8590560 |
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