Predicting postural risk level with computer vision and machine learning on multiple sources of images

Postural risk level assesses the degree of potential harms to a human body due to bad postures often encountered in workplaces. If accurate 3-dimensional coordinates of body joints can be found from images, then postural risk level can be calculated analytically. Unfortunately, even with today'...

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Vydáno v:	Engineering applications of artificial intelligence Ročník 143; s. 109981
Hlavní autor:	Doong, Shing Hwang
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.03.2025
Témata:	Machine learning Multi-source domain adaptation Musculoskeletal disorder Postural risk level Weakly supervised algorithm Weakly supervised algorithm Multi-source domain adaptation Musculoskeletal disorder Machine learning Postural risk level
ISSN:	0952-1976
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