Enhanced Human Activity Recognition Based on Smartphone Sensor Data Using Hybrid Feature Selection Model

Human activity recognition (HAR) techniques are playing a significant role in monitoring the daily activities of human life such as elderly care, investigation activities, healthcare, sports, and smart homes. Smartphones incorporated with varieties of motion sensors like accelerometers and gyroscope...

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Detalles Bibliográficos
Autores principales: Ahmed, Nadeem, Rafiq, Jahir Ibna, Islam, Md Rashedul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6983014/
https://www.ncbi.nlm.nih.gov/pubmed/31935943
http://dx.doi.org/10.3390/s20010317

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6983014/
https://www.ncbi.nlm.nih.gov/pubmed/31935943
http://dx.doi.org/10.3390/s20010317

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