Excessive values of force on L5/S1 joint can cause work-related musculoskeletal disorders, such as low back pain. Currently, the reference solution for estimating such variables is the combination of optoelectronic system and force platform, used for calculating the bottom up inverse dynamics in laboratory settings. Here we propose and validate a novel, completely wearable solution, composed by twelve inertial measurement units and pressure insole sensors. We validate the wearable solution with respect to the output of the reference solution, with data collected simultaneously on a subject performing lifting and releasing tasks with two different loads. The results are encouraging towards the use of the wearable methodology, considering the great impact of such a solution in a real manufacturing scenario.
Validation of a novel wearable solution for measuring L5/S1 load during manual material handling tasks / Conforti, Ilaria; Mileti, Ilaria; Panariello, Dario; Caporaso, Teodorico; Grazioso, Stanislao; DEL PRETE, Zaccaria; Lanzotti, Antonio; Di Gironimo, Giuseppe; Palermo, Eduardo. - (2020), pp. 501-506. (Intervento presentato al convegno 2020 IEEE International workshop on metrology for industry 4.0 and iot, metroind 4.0 and iot 2020 tenutosi a Roma) [10.1109/MetroInd4.0IoT48571.2020.9138259].
Validation of a novel wearable solution for measuring L5/S1 load during manual material handling tasks
ilaria conforti;Ilaria Mileti;Zaccaria Del Prete;Eduardo Palermo
2020
Abstract
Excessive values of force on L5/S1 joint can cause work-related musculoskeletal disorders, such as low back pain. Currently, the reference solution for estimating such variables is the combination of optoelectronic system and force platform, used for calculating the bottom up inverse dynamics in laboratory settings. Here we propose and validate a novel, completely wearable solution, composed by twelve inertial measurement units and pressure insole sensors. We validate the wearable solution with respect to the output of the reference solution, with data collected simultaneously on a subject performing lifting and releasing tasks with two different loads. The results are encouraging towards the use of the wearable methodology, considering the great impact of such a solution in a real manufacturing scenario.File | Dimensione | Formato | |
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