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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Detalles Bibliográficos
Autores principales: Munoz-Organero, Mario, Ruiz-Blazquez, Ramona
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5336010/
https://www.ncbi.nlm.nih.gov/pubmed/28208736
http://dx.doi.org/10.3390/s17020319

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5336010/
https://www.ncbi.nlm.nih.gov/pubmed/28208736
http://dx.doi.org/10.3390/s17020319

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