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A Robust Deep Learning Approach for Position-Independent Smartphone-Based Human Activity Recognition
Recently, modern smartphones equipped with a variety of embedded-sensors, such as accelerometers and gyroscopes, have been used as an alternative platform for human activity recognition (HAR), since they are cost-effective, unobtrusive and they facilitate real-time applications. However, the majorit...
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| Publicado no: | Sensors (Basel) |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6263408/ https://ncbi.nlm.nih.gov/pubmed/30388855 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s18113726 |
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