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The Wireless Remote Controlled Car System Based on Real Time Brain-computer Interface

Author: XuJiang
Tutor: TianFengChun;HeQingHua
School: Chongqing University
Course: Signal and Information Processing
Keywords: Brain-Computer Interface (BCI) FPGA Visual Evoked Potential (VEP) LabVIEW Wireless Remote Controlled Car
CLC: TP872
Type: Master's thesis
Year: 2010
Downloads: 191
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Brain-computer interface (BCI) is a new external communication and control technology between human and computer or other electronic devices, which do not rely on the general information output pathway of the brain (peripheral nerve and muscle tissue).Current interests in BCI development come mainly from the hope that this technology could be a new valuable augmentative communication option for those with severe movement disabilities that prevent them from using conventional augmentative technologies.The main purpose of BCI technology research and development is to design the control device based on EEG that can help severely disabled patients to communicate and control with the external environment. Because of its great value in clinical application, BCI has become hot spots of domestic and international rehabilitation medicine and biomedical engineering research projects.Transient visual evoked potential (VEP) is relatively easy to be detected, and doesn’t easily cause visual fatigue, so it is suitable for real-time brain-computer interface system. There are many powerful functions for FPGA, and it’s easy to modify and upgrade. The research on the application technology of BCI based on real-time brain-computer interface system focus on FPGA is carried out in this paper. The scheme for wireless remote controlled car system based on the real-time brain-computer interface is presented.This paper presents a new VGA color visual stimulator by FPGA to extract the transient visual evoked potential much better. The liquid crystal display device is used as the stimulator display platform, so the eyes of subjects are not easy to be caused visual fatigue. The color checkerboard grid interface are designed by VHDL. Color of the interface are much more pronounced and acceptable, and the visual evoked potential are more apparent.In order to improve the real-time brain-computer interface system, a new approach based on LabVIEW that can real-time extract the VEP template and send it back to the FPGA is proposed in this paper. LabVIEW was adopted to read and process the serial data from FPGA. Then the real-time waveform data were displayed and analyzed through LabVIEW to obtain the necessary template. Afterwards the necessary template data were sent back to the FPGA for discriminating.The waveform matching recognition algorithm based on FPGA was used to distinguish visual evoked potential. The recognition algorithm based on time-domain characteristics of visual evoked potential is studied. And EEG experiments are conducted. The experimental results of these recognition algorithms are comparative analyzed.The wireless remote controlled car system based on brain-computer interface is built in this paper. The user watches the VGA visual stimulator, then the corresponding visual evoked potentials are collected to FPGA by the EEG signal collection circuit. The goal which the user is watching is determined through pattern recognition, and then the corresponding high-low combination pulse is generated by FPGA and extended to remote control device through the outer pins of FPGA. The remote control coding circuit encode the pulse and launch from the antenna. Then the pulse is received by the remote control car antenna and decoded to corresponding code by decoding circuit so as to control the wireless remote control car move to four different directions.The wireless remote controlled car system experiments based BCI have been carried out successfully. Experimental results indicate that, the scheme for wireless remote controlled car system based on the brain-computer interface is feasible. It can improve the real-time and increase the recognition rate of the system, also it is good for improving the practicality of the brain-computer interface application system.

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CLC: > Industrial Technology > Automation technology,computer technology > Remote technology > Remote system > Remote control signal, the remote control and signaling systems
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