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Neural Network Based Approach for Identifying Suitable Sport for Beginners

Anthropometric measures and morphologic features judge a sportsman’s performance. The anthropometric and physical properties of an athlete are a vital prerequisite for success in every sport. It is reasonable to think that anthropometric features of an athlete affect its level of fitness and help determine an appropriate physical condition for a specific sport. Thus, we suggest suitable sports for beginners based on the Anthropometric measurements. In this research, we proposed a neural network-based approach for identifying the suitable sport for beginners based on their anthropometric measurements. Here, we considered two sports, namely Kabaddi and Kho-Kho. We compared the neural network approach with decision tree models. According to the results, the neural network-based approach outperforms the decision tree models. Neural Network achieved 98.0% accuracy.