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

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

Fichier principal
Vignette du fichier
Real-Time_Human_Activity_Recognition_on_Embedded_E.pdf (1 Mo) Télécharger le fichier
Origin Publisher files allowed on an open archive

Dates and versions

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

Identifiers

Cite

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⟩
29 View
29 Download

Altmetric

Share

More