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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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Dettagli Bibliografici
Pubblicato in:Sensors (Basel)
Autori principali: Amjad, Fatima, Khan, Muhammad Hassan, Nisar, Muhammad Adeel, Farid, Muhammad Shahid, Grzegorzek, Marcin
Natura: Artigo
Lingua:Inglês
Pubblicazione: MDPI 2021
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Accesso online: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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