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A Novel Hybrid Deep Learning Model for Human Activity Recognition Based on Transitional Activities
In recent years, a plethora of algorithms have been devised for efficient human activity recognition. Most of these algorithms consider basic human activities and neglect postural transitions because of their subsidiary occurrence and short duration. However, postural transitions assume a significan...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8706790/ https://www.ncbi.nlm.nih.gov/pubmed/34960321 http://dx.doi.org/10.3390/s21248227 |