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Machine Learning Methods for Classifying Human Physical Activity from On-Body Accelerometers
The use of on-body wearable sensors is widespread in several academic and industrial domains. Of great interest are their applications in ambulatory monitoring and pervasive computing systems; here, some quantitative analysis of human motion and its automatic classification are the main computationa...
Tallennettuna:
| Päätekijät: | , |
|---|---|
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Molecular Diversity Preservation International (MDPI)
2010
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3244008/ https://ncbi.nlm.nih.gov/pubmed/22205862 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s100201154 |
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