Study And Application Of Object-control In Visual Reality Based On Brain-computer Interface

As a cross-disciplinary field involving neurosciences and control discipline, Brain-Computer Interface has been extensively studied in recent years. Based on pattern recognition technology for EEG acquisition, feature extraction and classification process with delicate experimental paradigm, EEG can be used for information interaction and providing commands, which has a promising potential to supplement and even in place of the human neuromuscular channels to some extents. The wide application of BCI technology is bound to be a gospel for the disabled, who have some defect on neural circuits. In the mean time, BCI technology is supposed to have a great potential in innovating the way of human’s future life. That is the key value of BCI technology.Now that BCI technology is worth of being studied, this paper makes an exploration in the combination of BCI technology and VR(Visual Reality) technology, which may be a promising field in the future. This paper aims at making use of the P300 EEG for the control of mobile in VR scenes and structuring the BCI-VR control system based on P300 EEG.By applying time-domain analysis and Bayesian classification algorithm for P300 EEG feature extraction and classification, and taking the classification result as the output command, BCI-VR control system realizes the function of the control of object in VR scenes. When experimenting, P300 EEG can be induced from subjects by means of flickering 9 P300 stimulation buttons on the BCI-VR system. The subjects can select the specific control command by gazing different buttons, including the function of ‘Forward’, ’Backward’. ’Turn Left’, ’Turn Right’, ’Stop’ and ’Hold’.At last, we collect 6 different subjects’ experimental data to validate the feasibility of this BCI-VR system and analyze its performance.