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Time-Elastic Generative Model for Acceleration Time Series in Human Activity Recognition
Body-worn sensors in general and accelerometers in particular have been widely used in order to detect human movements and activities. The execution of each type of movement by each particular individual generates sequences of time series of sensed data from which specific movement related patterns...
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| Publicado no: | Sensors (Basel) |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5336010/ https://ncbi.nlm.nih.gov/pubmed/28208736 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s17020319 |
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