| Currently there is a development from traditional videogames using keyboard, mouse or joystick to games that use all kinds of sensors and algorithms that know about speech characteristics, about facial expressions, gestures, location and identity of the gamer and even physiological processes that can be used to adapt or control the game. The next step in game development is input obtained from the measurement of brain activity. My research focus is on (machine learning) algorithms to extract information from brain signals in situations where a gamer has to perform various tasks in parallel. Results of this research will be used in the development of hybrid interfaces for games that allow control obtained from, among other things, brain signals. |
