Graphical Method for Evaluating and Predicting the Human Performance in Real Time

Abstract

Theoretical-scientifical significance of the paper consists in developing and reasoning a complex method for predicting sportive performance, during a training stage, that complements the theoretical concept of structure and content of education. Through the theoretical and experimental results presented in this work, one can see that the mathematical model and algorithm developed and applied in training the athletes has led to significant results regarding the predicting methodology in sports and improving the psychomotor and psychological parameters. This methodology can be effectively applied by extension to other levels of human practice because human performance can manifest differently. The theoretical and methodological concept may be included in the theoretical and methodical training of specialists in sports but also in other areas of human performance (education, artistic and scientific creativity etc.). Considering that training is a complex process and has the priority aim to prepare performance, we consider that in its structure and content must be implemented a whole range of advanced methodologies including computers. The mathematical methods developed by computing technique must include sufficient information on subjects’ developing level and how to provide their improvement. The methodology of predicting based on mathematical modeling methods must highlight the most important directions of developing the individual both in the initial stages and in the performance stages of training. The method aims to reduce the multidimensional representation given by an extensive package of tests at a two-dimensional graphical representation, easily analyzed and very suggestive, by minimizing the extrapolation errors of numerical values involved.