🧠 E-Brain Core IA

Electronic Brain Connect Core with Integrated AI

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📌 Overview

E-Brain Core IA is a hybrid cognitive system designed as an electronic brain to bridge humans and machines.
It combines real-time sensor and actuator control with a lightweight AI engine (TinyLlama or similar) for analysis, adaptive decision-making, and memory simulation.

Inspired by the concept of a positronic brain, E-Brain Core IA aims to become the core prosthetic brain for assistive robotics, prosthetics, and wearable devices.

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🚀 Vision

To create an international open-source cognitive platform that empowers:

• Medical rehabilitation → control of prosthetics and exoskeletons.
• Assistive technologies → real-time monitoring and safety systems.
• Human–machine interfaces → intuitive connection between humans and digital/robotic systems.
• Cognitive and emotional support → hybrid AI capable of analyzing human input and providing guidance.

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🧩 System Architecture

E-Brain Core IA is structured as a modular brain-inspired system:

1. Perception → sensors (EMG, IMU, audio, proximity, vision, temperature).
2. Processing → feature extraction, signal normalization, memory (short/long-term).
3. Decision → classifiers, adaptive thresholds, AI-based reasoning.
4. Actuation → motors, prosthetics, exoskeletons, or external devices.
5. Feedback → haptic, visual, or auditory responses to the user.

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🛠️ MVP – Minimum Viable Prototype

• Hardware:

  • Arduino UNO/Mega (or ESP32)
  • 2–4 EMG channels (MyoWare or similar)
  • 1–3 servo motors (basic prosthetic gripper)
  • Vibromotors for haptic feedback

• Software:

  • Real-time signal acquisition (1 kHz sampling)
  • Filtering, rectification, and RMS calculation
  • Simple classifier (threshold + LDA) for open/close gesture
  • PWM motor control + safety watchdog
  • Feedback vibration when force threshold is exceeded

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📜 Roadmap

• Stage 1: Sensor & motor simulation (reflex loops).

• Stage 2: Prosthetic prototype (hand/gripper).

• Stage 3: Adaptive memory and decision-making.

• Stage 4: Integration of TinyLlama (lightweight LLM) for real-time analysis.

• Stage 5: Wearable form (portable cognitive brain for assistive devices).

• Current status: Stage 3 - 16/08/2025

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🔐 License

This project is licensed under the MPL 2.0 license.

• Open source usage is free as long as modifications to existing source files remain open.
• For commercial/proprietary usage without code disclosure, please contact the author for a commercial license option.

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🌍 International Scope

All documentation is provided in English to ensure accessibility for researchers, companies, and collaborators worldwide.

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🤝 Contributing

Contributions are welcome!

• Fork the repository
• Create your feature branch (git checkout -b feature/my-feature)
• Commit changes (git commit -m 'Add new feature')
• Push to the branch (git push origin feature/my-feature)
• Open a Pull Request

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📧 Contact

Author: David Arriaga
Project: E-Brain Core IA
Email: [email protected] Purpose: Building the next-generation electronic prosthetic brain with IA