Gait-Based Identification Using Deep Recurrent Neural Networks and Acceleration Patterns

This manuscript presents an approach to the challenge of biometric identification based on the acceleration patterns generated by a user while walking. The proposed approach uses the data captured by a smartphone’s accelerometer and gyroscope sensors while the users perform the gait activity and opt...

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Detalles Bibliográficos
Autores principales: Peinado-Contreras, Angel, Munoz-Organero, Mario
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7729817/
https://www.ncbi.nlm.nih.gov/pubmed/33287142
http://dx.doi.org/10.3390/s20236900

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7729817/
https://www.ncbi.nlm.nih.gov/pubmed/33287142
http://dx.doi.org/10.3390/s20236900

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