Modeling of Isometric Strength and Lifting Capacity
研究建立了两类预测模型：一类基于操作者特征预测等长力量，另一类利用个体特征预测不同高度和频率下的举重能力，对工业工人岗位匹配有参考价值。
Two categories of prediction models have been developed. Category one models predict isometric shoulder strength, leg strength, arm strength, back strength, and composite strength of male and female industrial workers based upon operator characteristics (age, sex, and anthropometric variables). Category two models predict lifting capacity of male and female industrial workers by utilizing their individual and anthropometric characteristics. The lifting capacity models can be used to predict the amount of weight an individual can lift for different height ranges at various frequencies of lift. A high multiple partial correlation coefficient (r≥. 0.95) was obtained when lifting capacity models were used to predict the amount of weight an individual can handle by using his predicted isometric strengths (from category one models) and personal characteristics (age, sex, and anthropometric variables).