Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 1 de 1
Filtrar
Mais filtros

Bases de dados
Ano de publicação
Tipo de documento
Intervalo de ano de publicação
1.
Appl Ergon ; 65: 562-569, 2017 Nov.
Artigo em Inglês | MEDLINE | ID: mdl-27823772

RESUMO

Evaluating potential musculoskeletal disorders risks in real workstations is challenging as the environment is cluttered, which makes it difficult to accurately assess workers' postures. Being marker-free and calibration-free, Microsoft Kinect is a promising device although it may be sensitive to occlusions. We propose and evaluate a RULA ergonomic assessment in real work conditions using recently published occlusion-resistant Kinect skeleton data correction. First, we compared postures estimated with this method to ground-truth data, in standardized laboratory conditions. Second, we compared RULA scores to those provided by two professional experts, in a non-laboratory cluttered workplace condition. The results show that the corrected Kinect data can provide more accurate RULA grand scores, even under sub-optimal conditions induced by the workplace environment. This study opens new perspectives in musculoskeletal risk assessment as it provides the ergonomists with 30 Hz continuous information that could be analyzed offline and in a real-time framework.


Assuntos
Ergonomia/métodos , Doenças Musculoesqueléticas/etiologia , Doenças Profissionais/etiologia , Postura/fisiologia , Trabalho/fisiologia , Fenômenos Biomecânicos , Humanos , Masculino , Pessoa de Meia-Idade , Medição de Risco/métodos , Extremidade Superior , Local de Trabalho
SELEÇÃO DE REFERÊNCIAS
DETALHE DA PESQUISA