Predicting Sagittal Plane Lifting Postures From Image Bounding Box Dimensions

Objective: A method for automatically classifying lifting postures from simple features in video recordings was developed and tested. We explored if an “elastic” rectangular bounding box, drawn tightly around the subject, can be used for classifying standing, stooping, and squatting at the lift orig...

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Veröffentlicht in:	Human factors Jg. 61; H. 1; S. 64 - 77
Hauptverfasser:	Greene, Runyu L., Hu, Yu Hen, Difranco, Nicholas, Wang, Xuan, Lu, Ming-Lun, Bao, Stephen, Lin, Jia-Hua, Radwin, Robert G.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Los Angeles, CA SAGE Publications 01.02.2019 Human Factors and Ergonomics Society
Schlagworte:	Algorithms Anthropometry Biomechanical Phenomena Body measurements Cameras Classification Computer vision Decision Trees Hoisting Humans Image classification Lifting Manikins Obstructions Posture - physiology Regression analysis Reproducibility of Results Smartphones Task Performance and Analysis Video data work physiology job risk assessment gait anthropometry posture low back biomechanical models spine manual materials handling biomechanics
ISSN:	0018-7208, 1547-8181, 1547-8181
Online-Zugang:	Volltext
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