Multi-User Human Activity Recognition Through Adaptive Location-Independent WiFi Signal Characteristics

In recent years, the remarkable advancement of WiFi sensing technologies has opened new frontiers in human activity recognition, enabling innovative solutions that transcend traditional methods and improve the capabilities of intelligent environments. Individual dynamic movements such as walking, si...

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Hlavní autoři:	Fahd Abuhoureyah, Kok Swee Sim, Yan Chiew Wong
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2024-01-01
Edice:	IEEE Access
Témata:	WiFi sensing multi-user human activity recognition channel state information independent component analysis
On-line přístup:	https://ieeexplore.ieee.org/document/10623431/
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