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Wearable Sensor Data Classification for Human Activity Recognition Based on an Iterative Learning Framework †
The design of multiple human activity recognition applications in areas such as healthcare, sports and safety relies on wearable sensor technologies. However, when making decisions based on the data acquired by such sensors in practical situations, several factors related to sensor data alignment, d...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2017
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5492798/ https://www.ncbi.nlm.nih.gov/pubmed/28590422 http://dx.doi.org/10.3390/s17061287 |