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A Comparative Study of Feature Selection Approaches for Human Activity Recognition Using Multimodal Sensory Data

Human activity recognition (HAR) aims to recognize the actions of the human body through a series of observations and environmental conditions. The analysis of human activities has drawn the attention of the research community in the last two decades due to its widespread applications, diverse natur...

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Détails bibliographiques
Publié dans:Sensors (Basel)
Auteurs principaux: Amjad, Fatima, Khan, Muhammad Hassan, Nisar, Muhammad Adeel, Farid, Muhammad Shahid, Grzegorzek, Marcin
Format: Artigo
Langue:Inglês
Publié: MDPI 2021
Sujets:
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC8036571/
https://ncbi.nlm.nih.gov/pubmed/33805368
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s21072368
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