Real-Time Human Activity Recognition on Embedded Equipment: A Comparative Study - Université de Versailles Saint-Quentin-en-Yvelines Access content directly
Journal Articles Applied Sciences Year : 2024

Real-Time Human Activity Recognition on Embedded Equipment: A Comparative Study

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hal-04591878 , version 1 (29-05-2024)

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Houda Najeh, Christophe Lohr, Benoit Leduc. Real-Time Human Activity Recognition on Embedded Equipment: A Comparative Study. Applied Sciences, 2024, 14, ⟨10.3390/app14062377⟩. ⟨hal-04591878⟩
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