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Human Activity Recognition using Inertial, Physiological and Environmental Sensors: A Comprehensive Survey

In the last decade, Human Activity Recognition (HAR) has become a vibrant research area, especially due to the spread of electronic devices such as smartphones, smartwatches and video cameras present in our daily lives. In addition, the advance of deep learning and other machine learning algorithms...

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Detalhes bibliográficos
Publicado no:IEEE Access
Main Authors: DEMROZI, FLORENC, PRAVADELLI, GRAZIANO, BIHORAC, AZRA, RASHIDI, PARISA
Formato: Artigo
Idioma:Inglês
Publicado em: 2020
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7748247/
https://ncbi.nlm.nih.gov/pubmed/33344100
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/access.2020.3037715
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