Design And Implementation Scheme of an Individual Game Support System Driven by High-Frequency Data

This article contains a design scheme and functional characteristics of a decision support system aimed at analysing high-frequency ball tracking data and deriving real-time recommendations to players of individual games like golf or mini golf. The characteristic feature of such game is the lack of other players’ responses to a player's move. The game becomes competitive when one of players completes certain task first or the final scores of players are compared. We review the best practices of game support methods and propose the software architecture of a mini-golf game support system (GSS) to be implemented by a course manager or supplier. The system is based on real-time analysis of high-frequency data captured during the ball movement. It uses a dynamic programming-type algorithm to compute optimal moves from the current position of the player and provides hints accounting for the hitherto score and game level of this player.