Handling loads with a non-neutral posture induces overloading of the joint structures. Adopting incorrect postures during work can generate injuries. Ten healthy subjects were examined during lifting and repositioning different loads, while instrumented with a system of eight wearable Inertial Measurements Units. The tasks were performed in two conditions, safe and unsafe, when a load was lifted and then released. To detect differences between the two postures, kinematic parameters such as range of motion of joints and relative displacement between trunk and pelvis were estimated through a biomechanical model. Results demonstrated significant differences between the two postures for all kinematic parameters (p<0.05), except for medio-lateral component of the trunk-pelvis displacement. Only for the hip joints, a dependency on the increase in weight of the loads was found. Our results demonstrate feasibility of a solution for automatically detect incorrect and risky postures in load handling of workers.

Assessing ergonomics and biomechanical risk in manual handling of loads through a wearable system / Conforti, I.; Mileti, I.; Del Prete, Z.; Palermo, E.. - (2019), pp. 388-393. (Intervento presentato al convegno 2nd IEEE International Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2019 tenutosi a Napoli; Italia) [10.1109/METROI4.2019.8792843].

Assessing ergonomics and biomechanical risk in manual handling of loads through a wearable system

Conforti I.
Primo
;
Mileti I.
Secondo
;
Del Prete Z.
Penultimo
;
Palermo E.
Ultimo
2019

Abstract

Handling loads with a non-neutral posture induces overloading of the joint structures. Adopting incorrect postures during work can generate injuries. Ten healthy subjects were examined during lifting and repositioning different loads, while instrumented with a system of eight wearable Inertial Measurements Units. The tasks were performed in two conditions, safe and unsafe, when a load was lifted and then released. To detect differences between the two postures, kinematic parameters such as range of motion of joints and relative displacement between trunk and pelvis were estimated through a biomechanical model. Results demonstrated significant differences between the two postures for all kinematic parameters (p<0.05), except for medio-lateral component of the trunk-pelvis displacement. Only for the hip joints, a dependency on the increase in weight of the loads was found. Our results demonstrate feasibility of a solution for automatically detect incorrect and risky postures in load handling of workers.
2019
2nd IEEE International Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2019
Ergonomics assessment; Inertial Measurement Units; Musculoskeletal disorders; Posture Recognition
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Assessing ergonomics and biomechanical risk in manual handling of loads through a wearable system / Conforti, I.; Mileti, I.; Del Prete, Z.; Palermo, E.. - (2019), pp. 388-393. (Intervento presentato al convegno 2nd IEEE International Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2019 tenutosi a Napoli; Italia) [10.1109/METROI4.2019.8792843].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1349104
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