Translating Brain Electrical Signals into Actions through Models...
summary
A live demo shows how EEG from a Neurosity device is processed with FFT and a Random Forest classifier (trained on ~10–15 short sessions) to produce a 0–1 concentration score. That score is sent to ChatGPT via Python for context‑embedding prompts and to ElevenLabs to synthesize a cloned voice named Ale, forming a closed‑loop real‑time feedback pipeline; the presenter shares reproducible code, an ~$800 hardware cost, and notes occasional glitches (robotic speech, token limits).
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chapters (8)
- 0:00Introduction
- 2:09Brain waves measurement
- 7:26Brain signal devices
- 11:14Live demo electrodes
- 13:22AI meditation agent
- 19:08Model processing
- 23:24Training real data
- 26:57AI tips closing
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