Classification of EEG signals from the brain 🧠 through OpenBCI hardware and Tensorflow-Keras API

Estimation, analysis and decomposition of brainwave spatiotemporal dynamics

🎧 Muse - The brain sensing headband plus attention level

The Aura Emotion AI system has chroma with a local embedding model, memvid qr code mp4 infinite memory, brainwave and neurochemical simulations, sociobiological reasoning, autonomous subsystem processing with a Gemini flash model so the main model is less taxed, is a MCP client with adaptive tool learning and MCP server.

simple ML program uses brain waves(EEG) and GSR to analyze user activity.

NeuroIDBench: An Open-Source Benchmark Framework for the Standardization of Methodology in Brainwave-based Authentication Research

Simulate, record, and play interactive games using your brain (Supports Neurosky EEG Headset)

A real-time EEG brainwave visualizer for Interaxon Muse headbands using Python and PyQtGraph.

Project is focused on the detection and extraction of a brain wave signal with the help of analog as well as digital circuitry. Using active electrodes on human scalp, the brain signals were fed into a series of hardware and software stages. Simple conscious movements such as blinking caused a change in the detected waveform. Although the projec…

Advanced ESP based 40Hz Gamma brain stimulator

Open-source brain-computer interface — EEG headband → Claude interprets your thoughts → generates code, art, and music

Occipital Alpha: Eyes Open vs Closed

Using Brain Computer Interface for Automation of Motors of a Wheelchair.

Aurora es una plataforma de monitorización EEG en tiempo real orientada al sector sanitario. El proyecto utiliza un casco EEG con sensores, un Arduino Nano ESP32 y comunicación WebSocket para capturar, transmitir y visualizar señales cerebrales en una aplicación web desarrollada con Laravel, Node.js y JavaScript.

Electroencephelography Data taken from my Muse Headband

Challenge solution for realtime, low power compression of wave files representing brain waves

FeelTheWaves is a Streamlit web app that analyzes EEG signals to classify emotional states using machine learning. Upload your EEG feature data, choose a model, visualize performance, and predict emotions in real time. Built for neuroscience, mental health research, and AI innovation.

Precision High Quality Meditation Audio-Entrainment Framework: 7-Layer HEMS Architecture for Lucid Presence. Binaural Beats, Neural Entrainment, Meditation, HEMS, Audio Engineering

This repository contains a Real-Time Brain-Computer Interface (BCI) System for stress monitoring and control using EEG signals. It captures live brainwave data, detects stress levels using machine learning, and enables real-time responses for health, wellness, or interactive applications.

SDR web app / Taking on the NSA's highly unconstitutional full feature neurotechnology 🧠 via tinfra + advanced signals (dubbed N-APT) through infrastructure (Write → Read → Stream) to brainwaves and neuronal waves.