Feature fusion using deep learning for smartphone based human activity recognition

Identification of human physical activities is an active research area since long due to its application in personalized health and fitness monitoring. The performance accuracy of human activity recognition (HAR) models mainly depend on the features which are extracted from domain knowledge. The fea...

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Detalles Bibliográficos
Autores principales: Thakur, Dipanwita, Biswas, Suparna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Singapore 2021
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8196919/
https://www.ncbi.nlm.nih.gov/pubmed/34151135
http://dx.doi.org/10.1007/s41870-021-00719-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8196919/
https://www.ncbi.nlm.nih.gov/pubmed/34151135
http://dx.doi.org/10.1007/s41870-021-00719-6

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