Gait Activity Classification on Unbalanced Data from Inertial Sensors Using Shallow and Deep Learning

Activity recognition is one of the most active areas of research in ubiquitous computing. In particular, gait activity recognition is useful to identify various risk factors in people’s health that are directly related to their physical activity. One of the issues in activity recognition, and gait i...

Descripción completa

Detalles Bibliográficos
Autores principales: Lopez-Nava, Irvin Hussein, Valentín-Coronado, Luis M., Garcia-Constantino, Matias, Favela, Jesus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7506657/
https://www.ncbi.nlm.nih.gov/pubmed/32842459
http://dx.doi.org/10.3390/s20174756

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7506657/
https://www.ncbi.nlm.nih.gov/pubmed/32842459
http://dx.doi.org/10.3390/s20174756

Ejemplares similares