Research on Recreational Sports Instruction Using an Expert System

Abstract

With the society fast change, people are facing threat of various chronic ailments due to lack of effective sport. How to exercise in more effective way become important to the sports instruction, it’s also the key factor that foster people’s recreational sports become daily routine. Although the fundamental knowledge of sports instruction can be obtained from courses or books, expert’s instruction and experience is hardly to obtain especially in particular practice environment. Thus, the beginners tend to be lack of the expertise and information in order to exercise effectively. This study combines IT techniques and traditional sports instruction knowledge to construct an expert system of sports instruction in the field of recreational sports to solve the problems of traditional instruction (time-consuming and uneven quality of instruction). First of all, upon popular exercises, diverse training goals and physical fitness levels, this paper constructs the knowledge base with 324 flexible training courses and further obtains the figures of BMI, physical fitness and aptitude through user interface. By the establishment of fuzzy inference mechanism, this study intends to effectively enhance the preciseness and accomplish the objective of interactive training courses. This paper will provide the new thinking of recreational sports instruction and the approach not only keeps the experts’ experience and knowledge, but also solves the difficulty of the people’s exercise to finally fulfill the health lives.