COMPARATIVE STUDY OF RULA EVALUATIONS USING KINEBOT SOFTWARE

Objective: to compare the use of the RULA observational method, with the postural analysis using Kinebot software, of workers in manufacturing stations. Background: The RULA is among the tools most used by ergonomists, but in search of improving ergonomic analyses, new instruments have emerged, amon...

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Detalles Bibliográficos
Autores: Klein, Alison Alfred, Cunha Legey, Angela Luiza, Motter, Arlete Ana, Castro, Estefani Santos, Okimoto, Maria Lucia Leite Ribeiro
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2022
País:Brasil
Institución:Universidade Anhembi Morumbi (ANHEMBI)
Repositorio:DATJournal
Idioma:inglés
OAI Identifier:oai:ojs.datjournal.anhembi.br:article/597
Acceso en línea:https://datjournal.anhembi.br/dat/article/view/597
Access Level:acceso abierto
Palabra clave:RULA
ergonomics
musculoeskeletal disorders
kinebot
ewa
Distúrbios musculoesqueléticos
Kinebot
Ferramentas de ergonomia
Análise da postura de trabalho
Trastornos musculoesqueléticos
Herramientas de ergonomía
Análisis de postura de trabajo
Descripción
Sumario:Objective: to compare the use of the RULA observational method, with the postural analysis using Kinebot software, of workers in manufacturing stations. Background: The RULA is among the tools most used by ergonomists, but in search of improving ergonomic analyses, new instruments have emerged, among them, video-based systems. Kinebot is a software that evaluates the worker through filming and digital recognition, capable of generating a volume of information and detail so superior to the methods currently used. Method: 50 manufacturing positions from an industry in Paraná were selected, in which both methods were applied separately, to then compare the data obtained in the analyses, being the observations in the application, the scores referring to the trunk, neck, left and right forearm, left and right arm, and level of final action. Results: Kinebot was much simpler and easy to apply, there was positive and weak correlation for trunk, neck, right forearm, left and right arm. For the variables left forearm and final action level, there was a positive and moderate correlation (R=0.36, p<0.001; R=0.58, p<0.001). Conclusions: the subjectivity of a conventional method has its evaluation levels decreased with the expansion of technological tools. Kinebot has proved easier and with the results being RULA-compliant. Application: the practical impact of this work is to bring the importance of studies that prove the use of technology in favor of a complete ergonomic analysis without subjectivity.