Analysis of masonry work activity recognition accuracy using a spatiotemporal graph convolutional network across different camera angles

Human activity recognition (HAR) in construction has gained attention for its potential to improve safety and productivity. While HAR research has shifted toward vision-based approaches, many studies typically use data from a specific angle, limiting understanding of how camera angles affect accurac...

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Vydáno v:	Automation in construction Ročník 175; s. 106178
Hlavní autoři:	Yun, Sangyoon, Hong, Sungkook, Hwang, Sungjoo, Lee, Dongmin, Kim, Hyunsoo
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 01.07.2025
Témata:	AlphaPose Camera angle Human Activity Recognition (HAR) Spatial-Temporal Graph Convolutional Network (ST-GCN) Human Activity Recognition (HAR) AlphaPose Camera angle Spatial-Temporal Graph Convolutional Network (ST-GCN)
ISSN:	0926-5805
On-line přístup:	Získat plný text
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