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Design of an EEG-based brain-computer interface for controlling a radio-controlled toy car

Design of an EEG-based brain-computer interface for controlling a radio-controlled toy car. Albert Monteith Study leader: Prof T Hanekom Bioengineering. Overview. Motivation & problem Solution Implementation Results Future work. Motivation & problem. Few suitable toys

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Design of an EEG-based brain-computer interface for controlling a radio-controlled toy car

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  1. Design of an EEG-based brain-computer interface for controlling a radio-controlled toy car Albert Monteith Study leader: Prof T Hanekom Bioengineering

  2. Overview • Motivation & problem • Solution • Implementation • Results • Future work

  3. Motivation & problem • Few suitable toys • Playing essential for healthy brain development • Suffer from a development delay • They lack the necessary neuromuscular output channels

  4. The solution Brain-computer interface BCI Hardware/ software • Electric wheelchair • Computer cursor • Robotic arm • RC toy car Visual stimulus • Noise removal • Feature extraction • Feature classification • Translation into commands

  5. The current approach • Expensive • Not portable • Not user friendly Not suitable for use as a toy

  6. Overview of system • Portable • Cost-effective • User friendly • Suitable for disabled children Visualstimulus Biopotential amplifier Digital processing unit RC toy controller Wheelchair-mounted console

  7. Visual stimulus 11.76 Hz 13.73 Hz 10.78 Hz 12.75 Hz

  8. Biopotential signals EEG electrode signal Final signal

  9. Signal processing • Criterion 1:The sinusoid must have the highest power of all the stimulus frequencies. FFT of the final signal

  10. Signal processing • Criterion 2:The SNR of the sinusoid must be statistically significant. SNR estimation method

  11. Results 1 Classification accuracy vs. threshold SNR Command transfer interval vs. threshold SNR

  12. Results 2 • Information transfer rate: Information transfer rate vs. threshold SNR

  13. Results 3 • 6-point noise estimation average • Threshold SNR of 5

  14. Discussion Advantages • Portable • Cost effective Shortcomings • Susceptible to user distraction • Average performance • User must focus on stimulus • Few electrodes • Compatibility

  15. Future work

  16. Conclusion An EEG-based BCI for controlling a radio-controlled toy car was successfully designed, implemented and tested. A step closer to affordable BCI toys for severely disabled children.

  17. Questions

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