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An Efficient and Lightweight Deep Learning Model for Human Activity Recognition Using Smartphones
Traditional pattern recognition approaches have gained a lot of popularity. However, these are largely dependent upon manual feature extraction, which makes the generalized model obscure. The sequences of accelerometer data recorded can be classified by specialized smartphones into well known moveme...
| 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/PMC8199714/ https://www.ncbi.nlm.nih.gov/pubmed/34199559 http://dx.doi.org/10.3390/s21113845 |