The purpose of this study was to analyze changes to body measurements and silhouettes after wearing an early 19th century women’s corset. Two types of corsets were tested. Changes in body size and silhouette were compared based on the levels of tightening strength of the corset. The tightening strength was adjusted in 4 steps by making the length of back fastening string 10-40 cm shorter than the standard. The silhouette was compared with the front silhouette and the side silhouette. The results were as follows. After wearing the experimental 19th century corsets, the chest circumference and front interscye length increased. However, the chest circumference did not increase proportionally to the tightening strength. The underbust circumference, waist circumference, and back interscye length also decreased. The waist width was decreased to create a slim front silhouette. The change in the body silhouette differed depending on the style of the experimental corset. The experimental corset made with the six-piece torso pattern changed the posture so that the shoulders were pulled back and the chest was pushed forward. The experimental corset with the side bodice pattern resulted in the subject’s shoulders reclining backward and the chest and abdomen extending forward. The results of this study show that women’s body sizes and silhouettes could be changed by wearing the early 19th century corsets, but the changes in body size and silhouette vary depending on the wearer's individual body type or corset style.
As a measure of health, the percentage of body fat has been utilized for many ergonomist, physician, athletic trainers, and work physiologists. Underwater weighing procedure for measuring the percentage of body fat is popular and accurate. However, it is relatively expensive, difficult to perform and requires large space. Anthropometric techniques can be utilized to predict the percentage of body fat in the field setting because they are easy to implement and require little space. In this concern, the purpose of this study was to find a regression model to easily predict the percentage of body fat using the anthropometric circumference measurements as predictor variables. In this study, the data for 10 anthropometric circumference measurements for 252 men were analyzed. A full model with ten predictor variables was constructed based on subjective knowledge and literature. The linear regression modeling consists of variable selection and various assumptions regarding the anticipated model. All possible regression models and the assumptions are evaluated using various statistical methods. Based on the evaluation, a reduced model was selected with five predictor variables to predict the percentage of body fat. The model is : % Body Fat = 2.704-0.601 (Neck Circumference) + 0.974 (Abdominal Circumference) -0.332 (Hip Circumference) + 0.409 (Arm Circumference) - 1.618 (Wrist Circumference) + ε. This model can be used to estimate the percentage of body fat using only a tape measure.
This study determined the optimal positions of the movable steering wheel and pedal systems of industrial vehicle by various body dimensions. The position of objects and starting driving posture were measured by Martin-type anthropometer and goniometer.