Device Position-Independent Human Activity Recognition with Wearable Sensors Using Deep Neural Networks

Human activity recognition (HAR) identifies people’s motions and actions in daily life. HAR research has grown with the popularity of internet-connected, wearable sensors that capture human movement data to detect activities. Recent deep learning advances have enabled more HAR research and applicati...

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Principais autores:	Sakorn Mekruksavanich, Anuchit Jitpattanakul
格式:	Artigo
語言:	Inglês
出版:	MDPI AG 2024-03-01
叢編:	Applied Sciences
主題:	human activity recognition position-independent sensing wearable sensors deep learning residual neural network
在線閱讀:	https://www.mdpi.com/2076-3417/14/5/2107
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