Real-Time Monitoring Human Motion System for Ergonomic Posture

Otto, Thiago Beckert; Campos, Alexandre; Souza, Marcos Aurélio de

doi:10.1007/978-3-319-54377-2_19

Cited by 4 publications

(1 citation statement)

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“…In the last decades, many efforts have been made in order to automatize the computation of OCRA index [1,19,20], which means to automatically provide the final value of exerted force, posture and frequency factor. To date, several studies have been proposed for a quantitative evaluation of parameters related to the exerted force and posture.…”

Section: Introductionmentioning

confidence: 99%

On the OCRA Measurement: Automatic Computation of the Dynamic Technical Action Frequency Factor

Taborri

Bordignon²,

Marcolin³

et al. 2020

Sensors

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OCRA (OCcupational Repetitive Action) is currently one of the most widespread procedures for assessing biomechanical risks related to upper limb repetitive movements. Frequency factor of the technical actions represents one of the OCRA elements. Actually, the frequency factor computation is based on workcycle video analysis, which is time-consuming and may lead to up to 30% of intra-operator variability. This paper aims at proposing an innovative procedure for the automatic counting of dynamic technical actions on the basis of inertial data. More specifically, a threshold-based algorithm was tested in four industrial case studies, involving a cohort of 20 workers. Nine combinations of the algorithm were tested by varying threshold values related to time and amplitude. The computation of frequency factor showed an average relative error lower than 5.7% in all industrial-based case studies after the appropriate selection of the time and amplitude threshold values. These findings open the possibility to use the threshold-based algorithm proposed here for the automatic computation of OCRA frequency factor, avoiding the time efforts in video analysis.

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Section: Introductionmentioning

confidence: 99%