Guided regularized random forest feature selection for smartphone based human activity recognition

Human activity recognition (HAR) is an eminent area of research due to its extensive scope of applications in remote health monitoring, sports, smart home, and many more. Smartphone-based HAR systems use high-dimensional sensor data to infer human physical activities. Researchers continuously endeav...

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Detalles Bibliográficos
Autores principales: Thakur, Dipanwita, Biswas, Suparna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9103613/
https://www.ncbi.nlm.nih.gov/pubmed/35601253
http://dx.doi.org/10.1007/s12652-022-03862-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9103613/
https://www.ncbi.nlm.nih.gov/pubmed/35601253
http://dx.doi.org/10.1007/s12652-022-03862-5

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