Musculoskeletal disorders analysis with artificial intelligence for Mexican Nom–036 normativity

Abstract

According to statistics from the Mexican Institute of Social Security, from 2010 to 2019, the number of work accidents in relation to musculoskeletal disorders has been increasing, starting at 573 in 2010 to 6,297 in 2019. Mexico has an official standard as NOM-036-1- STPS-2017: Ergonomic risk factors at work-Identification, analysis, prevention and control. This work seeks to support to establish an analytical measurement to obtain human pose estimation and its angles in working conditions, and to be evidence for actions to comply with the mentioned standard. For posture analysis, the real-time human pose estimation neural network artificial intelligence algorithm of the TensorFlow platform is applied. A computer user interface was implemented, where the data obtained are stored and presented in tables and graphs, in an interactive way it allows to change the reference angle and perform the analysis according to the standards.