Abstract
It was determined from this research that human manual dynamic performance, push, and pull can be predicted from s ta tic strength and anthropometric data. Forty right-handed male college students between 18 and 35 years of age were tested for strength and performance. Human manual s ta tic effort (measured at 12 positions in front of the subject) and 10 anthropometric dimensions were used for predicting manual dynamic performance and effort. Dynamic performance (error rate) was measured by a non-directional force resistance device (NDFRD), which was moved about a horizontal track nine inches in diameter. The dynamic effort (push and pull) was measured by modifying the NDFRD by adding a linearly increasing resisting force produced by the attachment of a spring scale. Maximum push and pull are the criteria for this experiment. Multivariate analysis was used to develop prediction equations for dynamic performance and effort. The use of multivariate analysis overcomes the common limitations of estimation by regression. A unique NDFRD was developed for this research which added a new dimension to traditional tracking experiments. The significance of the prediction of dynamic performance and effort is that this data is not available in the literature. However, an abundant supply of static and anthropometric data is available. Since dynamic data can be predicted from the s ta tic and anthropometric data, then the dynamic data can also be available for equipment designers and human engineering researchers.
Black, Thomas Lee (1971). Feasibility of predicting human manual dynamic performance, push, and pull from static effort and anthropometric data. Texas A&M University. Texas A&M University. Libraries. Available electronically from
https : / /hdl .handle .net /1969 .1 /DISSERTATIONS -213443.