Controlling apps with your mind

on YouTube ↗46m

" summary

Uses a Muse headset (4 electrodes) over Web Bluetooth, streaming with rxjs into band-pass filter + FFT epochs to extract alpha/theta/gamma power; feeds vectors into ml5 k-NN (TensorFlow under the hood) trained by live examples. Demo wires EEG to webpage controls and a Parrot Mambo drone, detects blink spikes and focus via alpha power with tuned thresholds (spike > ~80–300, 500 ms debounce). Prototype mostly works but drone connection is flaky.

AI-written summary · about

" chapters (9)

1. 0:00Introduction and background
2. 1:44The future of UI/UX
3. 5:04Foundations of neural tech
4. 8:36Measuring brain signals
5. 15:30Real-time data processing
6. 22:02Analyzing brain waves
7. 28:06Machine learning integration
8. 33:46Live hardware demo
9. 40:52Conclusion and Q&A

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