TY - JOUR
T1 - An ergonomic study of body motions during Muslim prayer using digital human modelling
AU - Aqlan, Faisal
AU - Ahmed, Abdulaziz
AU - Cao, Wen
AU - Khasawneh, Mohammad T.
N1 - Publisher Copyright:
Copyright © 2017 Inderscience Enterprises Ltd.
PY - 2017
Y1 - 2017
N2 - This research presents an ergonomic study of body motions during Muslim prayer (i.e., Salat) using digital human modelling. A factorial analysis is conducted considering four main factors: population, gender, percentile, and prayer posture. For healthy individuals, the results showed that all the main factors are significant, but no interaction effects were found to be significant. It was also found that there is an inverse relationship between the time spent on each prayer posture and the back compression force affecting the person during that posture. In addition, modifications to the bowing posture were studies for individuals with low back pain considering three main factors: back angle, knee angle, and pain level. It was found that all the main factors and one interaction effect (back angle × knee angle) are significant. This can help identify the back and knee angles that minimise the compression force for individuals with low back pain.
AB - This research presents an ergonomic study of body motions during Muslim prayer (i.e., Salat) using digital human modelling. A factorial analysis is conducted considering four main factors: population, gender, percentile, and prayer posture. For healthy individuals, the results showed that all the main factors are significant, but no interaction effects were found to be significant. It was also found that there is an inverse relationship between the time spent on each prayer posture and the back compression force affecting the person during that posture. In addition, modifications to the bowing posture were studies for individuals with low back pain considering three main factors: back angle, knee angle, and pain level. It was found that all the main factors and one interaction effect (back angle × knee angle) are significant. This can help identify the back and knee angles that minimise the compression force for individuals with low back pain.
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U2 - 10.1504/IJISE.2017.081918
DO - 10.1504/IJISE.2017.081918
M3 - Article
AN - SCOPUS:85011876413
SN - 1748-5037
VL - 25
SP - 279
EP - 296
JO - International Journal of Industrial and Systems Engineering
JF - International Journal of Industrial and Systems Engineering
IS - 3
ER -