An Efficient and Lightweight Deep Learning Model for Human Activity Recognition Using Smartphones

Traditional pattern recognition approaches have gained a lot of popularity. However, these are largely dependent upon manual feature extraction, which makes the generalized model obscure. The sequences of accelerometer data recorded can be classified by specialized smartphones into well known moveme...

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Detalles Bibliográficos
Autores principales: Ankita, Rani, Shalli, Babbar, Himanshi, Coleman, Sonya, Singh, Aman, Aljahdali, Hani Moaiteq
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8199714/
https://www.ncbi.nlm.nih.gov/pubmed/34199559
http://dx.doi.org/10.3390/s21113845

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8199714/
https://www.ncbi.nlm.nih.gov/pubmed/34199559
http://dx.doi.org/10.3390/s21113845

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