A Robust Deep Learning Approach for Position-Independent Smartphone-Based Human Activity Recognition

Recently, modern smartphones equipped with a variety of embedded-sensors, such as accelerometers and gyroscopes, have been used as an alternative platform for human activity recognition (HAR), since they are cost-effective, unobtrusive and they facilitate real-time applications. However, the majorit...

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Detalles Bibliográficos
Autores principales: Almaslukh, Bandar, Artoli, Abdel Monim, Al-Muhtadi, Jalal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6263408/
https://www.ncbi.nlm.nih.gov/pubmed/30388855
http://dx.doi.org/10.3390/s18113726

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6263408/
https://www.ncbi.nlm.nih.gov/pubmed/30388855
http://dx.doi.org/10.3390/s18113726

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