Recurrent Neural Network for Inertial Gait User Recognition in Smartphones

In this article, a gait recognition algorithm is presented based on the information obtained from inertial sensors embedded in a smartphone, in particular, the accelerometers and gyroscopes typically embedded on them. The algorithm processes the signal by extracting gait cycles, which are then fed i...

Descripción completa

Detalles Bibliográficos
Autores principales: Fernandez-Lopez, Pablo, Liu-Jimenez, Judith, Kiyokawa, Kiyoshi, Wu, Yang, Sanchez-Reillo, Raul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6767850/
https://www.ncbi.nlm.nih.gov/pubmed/31546976
http://dx.doi.org/10.3390/s19184054

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6767850/
https://www.ncbi.nlm.nih.gov/pubmed/31546976
http://dx.doi.org/10.3390/s19184054

Ejemplares similares