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.
UPPER LIMB JOINT MOMENT ESTIMATION FOR ERGONOMICS EVALUATION IN REAL-TIME / Giulia Avallone, Yi Chen, Rocco Vertechy, Michele Conconi, Nicola Sancisi. - ELETTRONICO. - (2022), pp. 13-16. (Intervento presentato al convegno GEF 2022 - Quattordicesima Giornata Ettore Funaioli tenutosi a Bologna nel 15 luglio 2022).
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
