Title :
A General Framework of Brain-Computer Interface with Visualization and Virtual Reality Feedback
Author :
Sun, Gufei ; Li, Kuangda ; Li, Xiaoqiang ; Zhang, Bofeng ; Yuan, Shizhong ; Wu, Gengfeng
Author_Institution :
Sch. of Comput. Eng. & Sci., Shanghai Univ., Shanghai, China
Abstract :
The concept of brain-computer interface (BCI) has emerged over the last three decades as a promising alternative to the existing interface methods. However the BCI framework generally spoken only emphasizes on the aspects of BCI signal processing, lacking of the function of visualization and virtual reality (VR) feedback. This paper designs a general and extendable framework which has the ability of offline, online analysis, visualization, and VR feedback. For the researchers, they can use it to analyze the online EEG signals, and observe the dynamic brain information of subjects. Meanwhile, the researchers can also do the offline analysis. For subjects, VR technology can provide a more secure and realistic environment for training and tuning neutrally controlled interfaces to real-world devices, such as wheelchairs. At last, the methods and algorithms used in the framework are also described.
Keywords :
brain-computer interfaces; data visualisation; electroencephalography; medical signal processing; virtual reality; BCI signal processing; VR technology; brain-computer interface; online EEG signals; virtual reality feedback; visualization function; Brain computer interfaces; Electroencephalography; Feedback; Information analysis; Signal analysis; Signal processing; Signal processing algorithms; Virtual reality; Visualization; Wheelchairs; Brain-Computer Interface (BCI); EEG; Motor imagery; Real-time; Virtual Reality; Visualization;
Conference_Titel :
Dependable, Autonomic and Secure Computing, 2009. DASC '09. Eighth IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-0-7695-3929-4
Electronic_ISBN :
978-1-4244-5421-1
DOI :
10.1109/DASC.2009.72