GESTIÓN AUTOMATIZADA DE LA PREVENCIÓN DE RIESGOS ERGONÓMICOS MEDIANTE SENSORES DE PROFUNDIDAD

Abstract

This paper presents the use of depth sensors for the automatized management of ergonomic risks in manufacturing plants. Its use for the prevention of risks arising from postural load at work is analyzed. The depth sensors detect the position of the joints of the worker with a high sampling rate without the need for sensors or markers placed on the subject studied . Several experiments were performed to check the similarity of the postural score with that proposed by human observers, as well as to determine the influence of the worker's position relative to the sensor in the results. The tests show a high inter -method agreement in the classification of the posture in risk categories (Proportion agreement index = 0.89 κ = 0.83) observed when the subject is situated in front of the sensor. Although the results are promising, some aspects of using depth sensors in production environments are discussed. Keywords: Prevention; management; ergonomics