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Ensemble of RNN Classifiers for Activity Detection Using a Smartphone and Supporting Nodes
Nowadays, sensor-equipped mobile devices allow us to detect basic daily activities accurately. However, the accuracy of the existing activity recognition methods decreases rapidly if the set of activities is extended and includes training routines, such as squats, jumps, or arm swings. Thus, this pa...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9739648/ https://www.ncbi.nlm.nih.gov/pubmed/36502154 http://dx.doi.org/10.3390/s22239451 |