A novel adaptive spatial–temporal cross-graph convolutional fusion learning network for skeleton-based abnormal gait recognition

Developing graph-based abnormal gait classification models with high generalization has been a challenging problem in gait analysis. In this study, a novel adaptive spatial–temporal cross-graph convolutional fusion learning network is proposed to accurately recognize skeleton-based abnormal gait pat...

Celý popis

Podrobná bibliografie

Vydáno v:	Engineering applications of artificial intelligence Ročník 154; s. 110922
Hlavní autoři:	Wang, Liang, Wu, Xiaoyan, Wu, Bin, Wu, Jianning
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 15.08.2025
Témata:	Abnormal gait recognition Adaptive learning Graph convolutional networks Graph fusion learning Adaptive learning Graph fusion learning Graph convolutional networks Abnormal gait recognition
ISSN:	0952-1976
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!