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Gait Activity Classification on Unbalanced Data from Inertial Sensors Using Shallow and Deep Learning
Activity recognition is one of the most active areas of research in ubiquitous computing. In particular, gait activity recognition is useful to identify various risk factors in people’s health that are directly related to their physical activity. One of the issues in activity recognition, and gait i...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7506657/ https://www.ncbi.nlm.nih.gov/pubmed/32842459 http://dx.doi.org/10.3390/s20174756 |