摘要(英) |
This thesis designed and implemented a virtual reality brain computer intarface system about EEG recording and motor imagery based VR character controlling. It is used to solve the limitation in operation space of the existing VR device, and also to help the disabled to use VR with their brain.
In terms of hardware, to improve the convenience and comfort of wearing a EEG device, this thesis combined wireless EEG recorder and VIVE PRO virtual reality head-mounted display. In terms of algorithms, this thesis proposes an innovative normalization method, which can effectively reduce the impact of EEG’s over time behavior changes on the traditional CSP classification accuracy. This thesis also proposed an improved Filter-Bank filtering method, in this way the CSP method can contain the EEG changes with wider bandwidth, combined with this two methods, the CSP achieved 73.7% classification accuracy in the BCI Competition IV dataset 2a with 9 subjects, and an average of 69.9% accuracy is achieved in the data of the 9 subjects recorded by the proposed BCI system. It is 5.9% higher than the traditional CSP method, which greatly improves the usability of the brain computer interface. |
參考文獻 |
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