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Anthropometric Data Modeling And Analysis For Young Male Population Of KPK Province In Pakistan
[Full Text]
AUTHOR(S)
Rashid Nawaz, Abdur Rehman Babar, Imran Ahmad, Rehman Akhtar, Mubashar Hayat
KEYWORDS
Anthropometry, Data modelling, Ergonomics, Stature, Multiple regression analysis
ABSTRACT
Recent development and increase in locally manufactured product demands access to anthropometric data for better design usability of products. Therefore, local designers and manufacturers must have an available database to design ergonomically appropriate product for consumers. Estimation of various body measurements is important for designing work not only in the industrial but also in-service sectors. The purpose of this study was to explore the value of various anthropometric measurements for predicting stature. The anthropometric measurements used are Buttock Height, Elbow Wrist Height Standing, Shoulder Height, Upper Arm Length, Lower Arm Length, Eye Height Standing, Full Leg Length, Lower Leg Length, Buttock Knee Length and Eye Height Sitting. This study is an attempt to develop a model that will predict the anthropometric measurements of the young men between age 18 to 30 in the province of Khyber Pakhtunkhwa, Pakistan. This study is important as there is very little literature available for designing work in various medium and small industries located throughout the province, and it will certainly benefit the socio-economic scenario. Multiple regression modeling was used in the prediction of stature based on ten independent variables. In this study it was observed that there is a strong correlation between the stature and other body dimensions, and models can be developed to predict various anthropometric measurements.
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