Our goal is to measure and estimate both the posture and the load of the human joints in real-time using a system of 17 IMUs for a fast and objective evaluation of risk factors. The forces exerted on the hands are known and needed to estimate the joint moment using a Newton-Euler approach. The method is tested using a commercial collaborative robot and the results are compared through a validated multibody software (Anybody Modelling System (AMS), AnyBody Technology, Alborg, Denmark), providing complete and detailed musculoskeletal models to quantify human motion and joint loads.

Giulia Avallone, Y.C. (2022). UPPER LIMB JOINT MOMENT ESTIMATION FOR ERGONOMICS EVALUATION IN REAL-TIME. Bologna.

UPPER LIMB JOINT MOMENT ESTIMATION FOR ERGONOMICS EVALUATION IN REAL-TIME

Giulia Avallone;Yi Chen;Rocco Vertechy;Michele Conconi;Nicola Sancisi
2022

Abstract

Our goal is to measure and estimate both the posture and the load of the human joints in real-time using a system of 17 IMUs for a fast and objective evaluation of risk factors. The forces exerted on the hands are known and needed to estimate the joint moment using a Newton-Euler approach. The method is tested using a commercial collaborative robot and the results are compared through a validated multibody software (Anybody Modelling System (AMS), AnyBody Technology, Alborg, Denmark), providing complete and detailed musculoskeletal models to quantify human motion and joint loads.
2022
GEF 2022 - Quattordicesima Giornata Ettore Funaioli
13
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Giulia Avallone, Y.C. (2022). UPPER LIMB JOINT MOMENT ESTIMATION FOR ERGONOMICS EVALUATION IN REAL-TIME. Bologna.
Giulia Avallone, Yi Chen, Rocco Vertechy, Michele Conconi, Nicola Sancisi
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/905940
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