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Human Activity Recognition using Inertial, Physiological and Environmental Sensors: A Comprehensive Survey
In the last decade, Human Activity Recognition (HAR) has become a vibrant research area, especially due to the spread of electronic devices such as smartphones, smartwatches and video cameras present in our daily lives. In addition, the advance of deep learning and other machine learning algorithms...
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| Publicado en: | IEEE Access |
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| Autores principales: | , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
2020
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7748247/ https://ncbi.nlm.nih.gov/pubmed/33344100 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/access.2020.3037715 |
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