A Smartphone Lightweight Method for Human Activity Recognition Based on Information Theory

Smartphones have emerged as a revolutionary technology for monitoring everyday life, and they have played an important role in Human Activity Recognition (HAR) due to its ubiquity. The sensors embedded in these devices allows recognizing human behaviors using machine learning techniques. However, no...

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Detalles Bibliográficos
Autores principales: Bragança, Hendrio, Colonna, Juan G., Lima, Wesllen Sousa, Souto, Eduardo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7181294/
https://www.ncbi.nlm.nih.gov/pubmed/32230830
http://dx.doi.org/10.3390/s20071856

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7181294/
https://www.ncbi.nlm.nih.gov/pubmed/32230830
http://dx.doi.org/10.3390/s20071856

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