Optimization of fuzzy rules in sports highlight extraction method based on a genetic algorithm

Abstract

People’s affective states when watching sports videos can be related to their physiological responses. This study proposes a method for extracting sports video highlights from viewers’ physiological data using fuzzy logic. Fuzzy logic is a multivalued logic, which is similar to human thinking and interpretation, and it has been widely applied to emotion recognition. An experimental evaluation of the proposed method was conducted in a soccer game viewing context. Viewers’ heart rate and galvanic skin response while watching a soccer game were collected and processed following fuzzy rules. Viewers were also asked to indicate time intervals when they felt excited during the game. To improve the accuracy, we use a genetic algorithm to optimize the fuzzy rules. The results of our fuzzy-logic-based approach with viewers’ labels showed the importance of our proposed method.