Hierarchical Activity Recognition Based on Belief Functions Theory in Body Sensor Networks

Wearable human activity recognition has raised great interest among researchers in the field of Body Sensor Networks (BSNs). However, the classification of human complex activities, especially those similar activities such as walking upstairs and downstairs, is very challenging for the design of eff...

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Veröffentlicht in:	IEEE sensors journal 2022-08, Vol.22 (15), p.15211-15221
Hauptverfasser:	Dong, Yilin, Zhou, Rigui, Zhu, Changming, Cao, Lei, Li, Xianghui
Format:	Artikel
Sprache:	eng
Schlagworte:	Activity recognition Artificial neural networks belief functions theory Body area networks Body sensor networks Cluster analysis Clustering Data structures Evidence theory hierarchical clustering Human activity recognition Legged locomotion Logic gates Machine learning Sensors Structural hierarchy Training tree-based combination rule
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