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...

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Detalles Bibliográficos
Autores principales: Bernaś, Marcin, Płaczek, Bartłomiej, Lewandowski, Marcin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9739648/
https://www.ncbi.nlm.nih.gov/pubmed/36502154
http://dx.doi.org/10.3390/s22239451

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