F1-team-1

repo of the first team for the project F1

🚗 Gesture-Controlled Racing Car with EMG

📌 Project Overview

Take control of a miniature racing car using only hand gestures! This project utilizes an electromyographic (EMG) bracelet to capture muscle activity and convert it into driving commands. The system first operates in a simulation environment (such as TrackMania + Pynput or vGamepad), before transitioning to a real-world F1 Tenth car in collaboration with the Véhicule Autonome de l’Université Laval (VAUL).

🎯 Key Features

• EMG Signal Processing: Converts muscle activity into driving inputs.
• Gesture Recognition: Maps hand movements to car controls.
• Simulation Phase: Testing in TrackMania + Pynput or vGamepad before real-world deployment.
• Real-World Phase: Controlling a physical F1 Tenth car.
• Pynput Keyboard Simulation: Sends EMG-based commands to the simulator.

🏗️ Project Pipeline

1. Data Acquisition: Collect EMG signals from the bracelet.
2. Signal Processing: Filter and analyze the signals to extract meaningful gestures.
3. Command Mapping: Translate gestures into acceleration, braking, and steering.
4. Simulation Testing: Validate the system in TrackMania + Pynput or vGamepad.
5. Hardware Integration: Deploy on the F1 Tenth car.
6. Final Testing & Optimization: Ensure real-time responsiveness and accuracy.

🛠️ Tech Stack

• Python: Core language for signal processing and interfacing.
• Pynput: Simulates keyboard inputs for the simulation.
• vGamepad: Simulates Joystick inputs for the simulation
• TrackMania: Virtual environment for initial testing.
• F1 Tenth: Real-world testing platform.
• EMG Sensors: Hardware for capturing muscle activity(Biopoint SifiLabs).

🚀 Getting Started

Prerequisites

• Python 3.8+
• TrackMania
• Pynput Library (pip install pynput)
• vGamepad Library(pip install vgamepad)
• EMG Sensor library (libEMG)

Installation

# Clone the repository
git clone https://github.com/yourusername/F1-team-1.git
cd F1-team-1

# Install dependencies
pip install -r requirements.txt

Running the Simulation

python main.py

🎮 Controls for discrete actions (Mapped from EMG Signals) with pynput

Gesture	Action
Thumb Flexion	Accelerate (Key: W) or (Key: up
Wrist Rotation Left	Turn Left (Key: A or (Key: left)
Wrist Rotation Right	Turn Right (Key: D or (Key: right)
Relaxed Hand	Brake (Key: S) or (Key: down

🎮 Controls for continuous actions (Mapped from EMG Signals) with vgamepad

Gesture	Action
Thumb Flexion	vgamepad.VX360Gamepad().right_trigger(255)
Wrist Rotation Left	vgamepad.VX360Gamepad().left_joystick(x_value=-32768, y_value=0)
Wrist Rotation Right	vgamepad.VX360Gamepad().left_joystick(x_value=+32768, y_value=0)
Relaxed Hand	vgamepad.VX360Gamepad().left_trigger(255)

📢 Future Enhancements

• Improve gesture detection using machine learning.
• Optimize signal filtering for real-time responsiveness.
• Enhance integration with autonomous driving features.

📜 License

This project is licensed under the MIT License.

🤝 Acknowledgments

• Université Laval (VAUL) for collaboration on F1 Tenth.
• Open-source tools like TrackMania, Pynput.

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🚀 Ready to race using just your hands? Let’s build the future of gesture-controlled vehicles!