Zine Research Lab, NIT Jaipur
A Brain Computer Interface to control a wheelchair, with:
- Using signals originating completely from the brain, and not sources of noise such as eye-blinks or facial gestures
- EEG headset to be used should be economical so as to make the system affordable
- Monitoring patient mental health, to detect emergency situations
The previous research on Motor-Imagery and P300 EEG were pivotal starting points for this project. Utilizing their software implementations in a GUI constructed using wxPython and MPI, to synchronize the recorded EEG with events on the GUI, a proof-of-concept was constructed. The emokit library was used for recording EEG.
- Accuracies were not promising, ranging from 65-70%. This resulted in a poorly functioning system.
- Upon running a number of tests, we realized that the electrode positions were problematic, in addition to the large amount of noise given out by the Emotiv.