Avatar navigation in Second Life using brain signals

This paper presents an interdisciplinary project conducted in a sophisticated approach to set up a connection between the human brain and a virtual world illustration. The main purpose of this research is to develop an interaction technique for entertainment and to investigate the virtual reality aspects for physical rehabilitation. Users could freely explore Second Life's virtual world and steer their avatar to the target point using their brain signals. The experiment was carried out on three subjects. The control can be accomplished by online processing of single-trial EEG signals recorded from EPOC headset, Emotiv, and passing the parameters to the main interface. An adaptive filter-based approach was used to reduce the eye blink distortions. Time-frequency features with combination of an ensemble LDA classifier led to a maximum 87.2% of accuracy.