Akademik Veri Yönetim Sistemi
ASYU 2022 Akıllı Sistemlerde Yenilikler ve Uygulamaları Konferansı, Antalya, Türkiye, 5 - 09 Eylül 2022, ss.1-4, (Tam Metin Bildiri)
Puzzle video games that look easy to play require effort to score well. As a result, physiological changes can be seen on the players. This study, it is aimed to determine the most effective subset of features that will determine the state of rest and play in individuals. The galvanic skin response (GSR) and heart rate variability (HRV) data were obtained from the volunteers as physiological signals. Here, a total of 9 features were extracted, 4 from GSR and 5 from HRV. Classification successes were determined by creating subsets with different combinations of these features. Experimental results showed that the highest success rate was achieved for the mean and maximum value features extracted from the GSR in determining the game playing state from physiological signals. The study will contribute to future studies on the physical and physiological effects of e-sports games.