Game Player Mind State Assessment Approach for Adaptive Gaming

Abstract

Video gaming stared with means of entertainment, but in present it is making an impact in other areas such as education, communication, marketing, health care and many more. Despite the use of video games, in order to deliver the purpose of the game, it should target each individual player hence come the need of adaptive gaming approaches. Player pattern based games, and player experience based games are two types of adaptive game approaches. This research is focusing on assessing player experience based on Electroencephalography (EEG) signal reading during the game play. Research proposes a prototype system, where it captures EEG data during the game play and analysing it at real time. An experiment has carried out where test subjects played a game wearing EEG capturing device and while the EEG activity of the players is monitored. The acquired EEG data is ltered into Alpha and Beta wave types, which is related to stress and relaxed mind states. Then the logarithmic power is calculated to detect the signi cant wave type at a given time period. Finally according to the readings as a progressive step towards adaptive games, the mind state of the player is assessed as stressed or relaxed and then the di culty of the game is altered. The research concludes that it can identify that the increase of Beta activity at real time due to stress and which is reduce with di culty level of the game.