In this paper, we have proposed an effective method to control simulated foggy scene or racing car speed by using brain computer interface (BCI). Our method benefits much from the attention level value computed by the Thinkgear chip in Neurosky’s MindWave headset. This EEG sensor, together with the atmospheric scatting model or the 2D game framework, is applied to control the fog density or the car speed of the virtual scenario. For the model-based foggy scenario simulation, virtual foggy scene is obtained by taking the predefined airlight and the transmission map into the atmospheric scattering model. For the software-based racing scenario simulation, the moving car is created by using the software framework Sprite and its speed is controlled by the EEG sensor data. Both methods are dominated by few parameters and can be used in computer games, mental strength recovery, concentration training and many other educational environments. The Experimental results show that the proposed model-based method and software-based method may generate quite visually pleasing game scenario with good sense of reality and immersion.

Date Published: 9 August 2018
PDF: 9 pages
Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 108066C (9 August 2018);

Published in SPIE Proceedings Vol. 10806:
Tenth International Conference on Digital Image Processing (ICDIP 2018)
Xudong Jiang; Jenq-Neng Hwang, Editor(s)