Mental Fatigue Analysis in an Industry 4.0 Workstation Using an Intelligent R Language-Based Model

Abstract

Nowadays, it is common to present mental fatigue, which would decrease the physical and psychological capacity for developing a job. This effect leads us to the work stress presented by workers in Industry 4.0. It showed these two effects to a drop in labor efficiency of workers and, in turn, impacting the productivity of the same, which represents production losses for the industry, considering the physical and psychological health of the users in their work environment. Mental fatigue implies the attention of the company's personnel to correct and prevent the problem. The article represents analysis in a workgroup, which is processed information based on questionnaires to staff that seeks to find the effect of mental fatigue according to their work activities. In turn, it aims to find a faster analysis through digital virtualization and representation in virtual images to process the information captured in real-time. In this way, it will be possible to offer a better work environment to avoid the mental fatigue of workers and thus not affect their productivity and mental health.