Paper Info
Title
Inferring workplace safety hazards from the spatial patterns of workers’ wearable data
Abstract
•Hazard locations were estimated from spatial clustering of workers’ wearable data.•Abnormal patterns of workers’ gait cycles were captured from wearable data.•Hotspot analysis allowed hazard identification without a priori knowledge about hazards.
Year
DOI
Venue
2019
10.1016/j.aei.2019.100924
Advanced Engineering Informatics
Keywords
Field
DocType
Construction safety,Hazard identification,Gait analysis,Spatial analysis,Safety monitoring,Location tracking
Data mining,Units of measurement,Potential accident,Wearable computer,Hazard analysis,Risk analysis (engineering),Engineering,Perception,Spatial ecology
Journal
Volume
ISSN
Citations 
41
1474-0346
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Kanghyeok Yang100.68
Changbum R. Ahn253.99