Closed-Chain Inverse Dynamics for the Biomechanical Analysis of Manual Material Handling Tasks through a Deep Learning Assisted Wearable Sensor Network

Closed-Chain Inverse Dynamics for the Biomechanical Analysis of Manual Material Handling Tasks through a Deep Learning Assisted Wearable Sensor Network

Despite the automatization of many industrial and logistics processes, human workers are still often involved in the manual handling of loads. These activities lead to many work-related disorders that reduce the quality of life and the productivity of aged workers. A biomechanical analysis of such a...

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Bibliographic Details
Main Authors: Riccardo Bezzini, Luca Crosato, Massimo Teppati Losè, Carlo Alberto Avizzano, Massimo Bergamasco, Alessandro Filippeschi
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Sensors
Subjects:
biomechanics
ergonomics
load estimation
wearable sensor networks
inertial measurement units
Online Access:https://www.mdpi.com/1424-8220/23/13/5885

Internet

https://www.mdpi.com/1424-8220/23/13/5885

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