We propose an ICA-based embedded wireless BCI (Brain Computer Interface) system for real-time drowsiness detection to improve the imperfections of offline analysis. The embedded wireless BCI has been implemented. It includes three functional blocks: wireless transmission and EEG recording, real-time transmission online ICA, and online drowsiness detection algorithm. This BCI system achieves two major targets. One is that the wireless overcomes the problem of long distance and inconvenient of connection lines; another is that the modified online ICA and drowsiness detection algorithms are implemented on the embedded DSP board to e give warning to drivers in real-time.
After that, the performance of the embedded wireless BCI system can still be improved in time, transmission and the problem of algorithm stability as follows.
The hardware of Bf533 is provided with hardware interrupt and DMA (Direct Memory Access), this speed the time handing peripheral.
The transmission protocol can be replaced with high speed Bluetooth.
The selection of components now is artificial. The rejection of estimated components is not completed correct. Most important of all is the selection of components.
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