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Sensor-Based Activity Recognition Using Frequency Band Enhancement Filters and Model Ensembles
Deep learning methods are widely used in sensor-based activity recognition, contributing to improved recognition accuracy. Accelerometer and gyroscope data are mainly used as input to the models. Accelerometer data are sometimes converted to a frequency spectrum. However, data augmentation based on...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9919843/ https://www.ncbi.nlm.nih.gov/pubmed/36772504 http://dx.doi.org/10.3390/s23031465 |