NeuroGlove is an innovative Assistive Technology solution designed for patients with hemiplegia or hand paralysis. By utilizing Brain-Computer Interface (BCI) technology, this system decodes neural oscillations via EEG and translates them into physical movement through a soft-robotic pneumatic glove.

🚀 Key Features

• Real-time BCI Integration: Seamlessly decodes brainwave patterns using NeuroSky MindWave.
• Pneumatic Actuation: Provides gentle, high-torque finger extension and flexion.
• Wireless Connectivity: Integrated Bluetooth (HC-05/06) communication for a tether-free experience.
• Adaptive Signal Processing: Python-based filtering of EEG data for accurate motor-intent detection.

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🛠 Hardware Architecture

The system architecture is divided into three main layers: Signal Acquisition, Processing, and Actuation.

Component	Function
NeuroSky MindWave	EEG signal sensing (Focus/Meditation metrics).
Arduino Uno	Master controller for solenoid valves and pump logic.
HC-05/06 Bluetooth	Low-latency serial data transmission.
Pneumatic Pump & Valves	Soft-robotic drive system for finger movement.
Soft Robotic Glove	Ergonomic interface for the user's hand.

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💻 Software Stack

Prerequisites

• Python 3.8+
• Arduino IDE
• Libraries: pyserial, neuropy (or relevant BCI library).

Installation

1. Clone the Repository:

   git clone [https://github.com/ersozberk/eeg_robotic_glove.git](https://github.com/ersozberk/eeg_robotic_glove.git)
   cd eeg_robotic_glove

2. Setup Python Environment:

   pip install -r requirements.txt

3. Deploy Arduino Firmware:

   • Open Firmware/eeg_control.ino in Arduino IDE.
   • Select your board and upload the code.

4. Run the System:

   python Scripts/eeg_processor.py

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⚙️ How It Works

1. Data Acquisition: The EEG headset monitors Beta and Alpha waves associated with concentration.
2. Signal Processing: The Python script processes the raw data stream, filtering noise and detecting "Attention" thresholds.
3. Command Execution: Once the threshold is met, a trigger signal is sent via Bluetooth to the Arduino.
4. Physical Response: The Arduino activates the pneumatic pump, inflating the glove's chambers to facilitate hand movement.

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🤝 Contributing

Contributions are what make the open-source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

📜 License

Distributed under the MIT License. See LICENSE for more information.

📧 Contact

Berk Ersöz - GitHub Profile

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Developed for accessibility and rehabilitation. """

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