Visual management and artificial intelligence integrated in a new fuzzy-based full body postural assessment

This study focuses on the problem of ergonomic evaluation for work tasks with a full-body postural approach. Although there has been much research in this area, including experimental investigations, there is still a need for objective and flexible approaches for the development of postural analysis. A new fuzzy-based full-body postural assessment tool is developed within a fuzzy inference engine (IE). Starting from an ergonomic map, the study develops a Fuzzy knowledge base system containing the main evaluation rules of the most relevant full-body evaluation checklists. The approach aims to give an integrated value of the ergonomic assessment for the postures investigated, indicating also the ergonomic incidence of each posture. The methodology is applied to an industrial case of a setup activity. A comparison is carried out with a standard integrated postural evaluation methods.