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w-HAR: An Activity Recognition Dataset and Framework Using Low-Power Wearable Devices
Human activity recognition (HAR) is growing in popularity due to its wide-ranging applications in patient rehabilitation and movement disorders. HAR approaches typically start with collecting sensor data for the activities under consideration and then develop algorithms using the dataset. As such, t...
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| Publicado no: | Sensors (Basel) |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7571034/ https://ncbi.nlm.nih.gov/pubmed/32962046 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20185356 |
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