In recent years, there has been a keen interest in the design improvisation of motorcycles. However, the theoretical model of association between motorcycle design attributes (like frame size/riding position) and rider’s physical attributes (like anthropometry, range of motion (ROM), and comfort joint angles) are not well established. This study aims to estimate the relationship between rider’s physical attributes and motorcycle design attributes. During this experimental study, the data was collected from 120 motorcyclists (aged between 19 and 44 years) belonging to 20 major states of India. A test-rig was fabricated to obtain the perceived comfort posture and position data using image processing technique. The anthropometry and ROM were manually measured and verified by reliability testing. The principal component analysis (PCA) and multiple linear regression were used to reduce the set of variables and estimate the relationship between 10 comfortable riding position and joint angles (as dependent variables), and the reduced set of 29 anthropometry and 20 ROM measurements (as the independent variables). These results indicate that the comfort joint angles and riding position were significantly associated with the anthropometrics and ROM of the riders. Highly significant regression models were formulated to examine the relationship between the comfort joint angles/riding position and the anthropometrics and ROM of the riders. The findings may support the motorcycle designers to design a comfortable motorcycle complying with Indian anthropometry and ROM.

近年来，人们对摩托车的即兴设计产生了浓厚的兴趣。但是，摩托车设计属性（如车架尺寸/骑乘位置）与骑车人的身体属性（如人体测量学，运动范围（ROM）和舒适关节角度）之间的关联理论模型尚不完善。这项研究旨在估计骑手的身体属性与摩托车设计属性之间的关系。在这项实验研究期间，数据收集自印度20个主要州的120名摩托车驾驶员（年龄在19至44岁之间）。使用图像处理技术制造了一个测试台，以获取感知到的舒适姿势和位置数据。人体测量学和ROM是手动测量的，并通过可靠性测试进行了验证。主成分分析（PCA）和多元线性回归用于减少变量集并估计10个舒适的骑乘位置和关节角度之间的关系（作为因变量），以及减少的29个人体测量学和20个ROM测量值（作为自变量）。这些结果表明，舒适的关节角度和骑乘位置与骑手的人体测量学和ROM显着相关。建立了高度有效的回归模型，以研究舒适关节角度/骑乘位置与骑手的人体测量学和ROM之间的关系。这些发现可能会支持摩托车设计者设计出符合印度人体测量学和ROM的舒适摩托车。