Recognition of sports and daily activities through deep learning and convolutional block attention

Portable devices like accelerometers and physiological trackers capture movement and biometric data relevant to sports. This study uses data from wearable sensors to investigate deep learning techniques for recognizing human behaviors associated with sports and fitness. The proposed CNN-BiGRU-CBAM m...

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Principais autores:	Sakorn Mekruksavanich, Wikanda Phaphan, Narit Hnoohom, Anuchit Jitpattanakul
Formato:	Artigo
Idioma:	Inglês
Publicado em:	PeerJ Inc. 2024-05-01
coleção:	PeerJ Computer Science
Assuntos:	Human activity recognition Sport and daily activity Deep learning Wearable sensor Convolutional block attention modules
Acesso em linha:	https://peerj.com/articles/cs-2100.pdf
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