Vladimir Pleština

Identification of sport talents using a web-oriented expert system with a fuzzy module

This paper presents a fuzzy expert system for scouting and evaluation of young sport talents. Based on the knowledge of several human sport experts, various motoric skills tests, morphologic characteristics measurements and functional tests are quantized according to their importance for a chosen set of sports. Obtained values are entered into the knowledge database along with the grades of the measured results for each test. Fuzzy logic is implemented in order to make the system more flexible and robust. The whole system is web-oriented, i.e. developed ASP.NET application is available to the internet users with a proper login and password. The developed expert system gives acceptability prediction and proposal of the most suitable sports for the person being tested. The output results of the system were evaluated by 4 experts, using real data collected during several years. Comparison is done between the sport proposed by our expert system and the actual outcome of the persons sports career. Also, the comparison of the expert system output and the human expert suggestions were done. All tests showed high reliability and accuracy of the developed system. Strengths, possibilities and future plans of the Sport Talent expert system are also discussed.

Object classification inwater sports

Object classification is a difficult task in many domains. In this paper we propose a method for pixel classification in water sports domain. We separate luminance from YCbCr color space and define 2D color plane and 3D color space for pixels set classification. 2D color plane classification is based on Euclidean distance while 3D color space classification is based on the use of bivariate histograms. Experimental results demonstrate the validity and efficiency of the proposed approach.

Expert System for Identification of Sport Talents: Idea, Implementation and Results

In this chapter, detailed description of the complete expert system for identification of sport talents will be given. Current version of developed software based solution has the following characteristics: ability of forming a referent measurement database with the records of all potential and active sportsmen, diagnostics of their anthropological characteristics, sports talent recognition, advising and guiding amateurs into the sports activities suitable for their potential. Also, a comparison of the test results for the same person and for overall achievement monitoring through a longer time period is possible. Evaluation and tests of the presented fuzzy-based approach with some other approaches used for the evaluation of the morphology models suggest that it is capable of successful recognition of the sport compatible for the tested individual based on his/her morphological characteristics.

Robot Soccer Educational Courses

Robot soccer is an international project intended to promote computer sciences, robotics, electronics and other related fields due to increasing demand for the properly educated engineers in these fields. It is an attempt to foster AI and intelligent robotics research by providing a standard problem where wide range of technologies can be integrated and examined. An idea of robot soccer and robot soccer league turned out as a great success in popularization of robotics and AI but also the other fields such as mechanical engineering and electronics. Practical courses for the undergraduate and graduate students can be domain – focused towards a particular research field such as intelligent agents, computer vision, etc. During the courses students are either constructing the robots, developing software for the robots or doing the both things, usually divided into different research teams. Anyhow, they are presented with the real-life problems and have the opportunity to work on challenging project that has a motivating goal. Although the practical courses for the university students are the most obvious choice because of generally high prerequested domain knowledge, children in elementary and secondary schools (K-12) are also targeted audience because of the need for the early days popularization of the technical sciences in order to provide better and more massive input in the faculties oriented towards technical sciences. Different age groups requires an adaptive and modular approach and this was the main idea behind the concept that will be presented here. A practical courses for three age groups has been developed: - younger K-12 school children (ages 13-15). - senior K-12 school children (ages 15-18). - university students (ages > 18). In this chapter, different modules incorporated in the practical courses are explained and curriculum, aims and tasks for each course level is described. The attention is focused on the modules integration. As a basis for the proposed constructive education courses, development of cheap and simple robots for the robot soccer team is explained in detail. Development of the skills needed in the mechanical engineering, electrical and electronic engineering and computer science and solving of the real life, practical problems results with a new quality in education of the target audience.