Classification of Sporting Activities Using Smartphone Accelerometers

In this paper we present a framework that allows for the automatic identification of sporting activities using commonly available smartphones. We extract discriminative informational features from smartphone accelerometers using the Discrete Wavelet Transform (DWT). Despite the poor quality of their...

Descripción completa

Detalles Bibliográficos
Autores principales: Mitchell, Edmond, Monaghan, David, O'Connor, Noel E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2013
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3673139/
https://www.ncbi.nlm.nih.gov/pubmed/23604031
http://dx.doi.org/10.3390/s130405317

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3673139/
https://www.ncbi.nlm.nih.gov/pubmed/23604031
http://dx.doi.org/10.3390/s130405317

Ejemplares similares