BMI

Eye BlinK:

1. Threshold based Eye-blink detection kept suspended and focus is on ML based Eye-blink detection approach
2. 90% accuracy of detection of eye-blink is achieved with 3 classes (single, double and 3 eye blinks) for 3 seconds epochs
4. New Analysis has to be done with 5 secs eye blink epochs

SSVEP:
1. Made the LED blinking using single Arduino for different frequencies
2. We have to made cardboard board based SSVEP setup
3. One data of 2 secs epoch of 3 sessions available. It is tested with ML and found with very less output.
4. Recording of New SSVEP data for Testing ML models
5. Finalize the Epoch duration
6. Generate SSVEP Epochs