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Automatic Annotation for Human Activity Recognition in Free Living Using a Smartphone

Data annotation is a time-consuming process posing major limitations to the development of Human Activity Recognition (HAR) systems. The availability of a large amount of labeled data is required for supervised Machine Learning (ML) approaches, especially in the case of online and personalized appro...

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Detalles Bibliográficos
Autores principales:	Cruciani, Federico, Cleland, Ian, Nugent, Chris, McCullagh, Paul, Synnes, Kåre, Hallberg, Josef
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2018
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6068801/ https://www.ncbi.nlm.nih.gov/pubmed/29987218 http://dx.doi.org/10.3390/s18072203

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