Measuring Biomechanical Risk in Lifting Load Tasks Through Wearable System and Machine-Learning Approach

Measuring Biomechanical Risk in Lifting Load Tasks Through Wearable System and Machine-Learning Approach

Ergonomics evaluation through measurements of biomechanical parameters in real time has a great potential in reducing non-fatal occupational injuries, such as work-related musculoskeletal disorders. Assuming a correct posture guarantees the avoidance of high stress on the back and on the lower extre...

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Bibliographic Details
Main Authors: Ilaria Conforti, Ilaria Mileti, Zaccaria Del Prete, Eduardo Palermo
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Sensors
Subjects:
activity recognition
wearable sensors
risk assessment
musculoskeletal disorders
motion analysis
working activities
machine-learning algorithms
Online Access:https://www.mdpi.com/1424-8220/20/6/1557

Internet

https://www.mdpi.com/1424-8220/20/6/1557

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