Real-time ergonomic evaluation method using artificial intelligence related to work in the mining sector (#807)

Authors

Chambi-Quiroz, Nelson

Lu-Chang-Say, Julio

Abstract

This article presents a real-time ergonomic evaluation method, using artificial intelligence, and also provides ergonomic evaluations in the mining sector. To achieve this, motion sensors are used which will be installed on the worker's extremities (arm, legs, etc.). neck) and will constantly evaluate the duration of the activity and the angles of the extremities. This innovative form of measurement makes it possible to evaluate ergonomic indices (RULA, REBA and OWAS) and provides real-time information on the evaluation of workers in ergonomic postures. The article ends with the comparison between the observational ergonomic evaluation method with the proposed method where it is concluded that the latter is more sensitive and provides proposals to reduce ergonomic risk