Mo-Choo: Touchless Gesture Recognition Interface

Winner of BlackRock Technical Challenge HackKings 2022

Mo-Choo is an innovative touchless gesture recognition application designed to alleviate the challenges faced by healthcare workers, especially post-pandemic. It offers a unique solution to reduce stress, enhance hygiene, and boost efficiency among healthcare professionals.

Problem

Healthcare workers often suffer from burnout due to increased exposure to contagions, lack of protective equipment, and excessive administrative tasks, affecting their well-being and patient care.

Solution

Mo-Choo introduces a real-time hand gesture recognition interface, enabling healthcare workers to interact with devices without physical contact. This minimizes infection risk and improves workflow efficiency. Built with Python, OpenCV, MediaPipe, and TensorFlow, it recognizes nine essential hand gestures serving as intuitive commands.

Features

• Real-time touchless gesture recognition.
• Enhances hygiene and reduces infection risk.
• Recognizes gestures such as 'okay', 'stop', 'peace', and more.
• Suitable for healthcare, accessibility, drive-throughs, and hygiene-critical industries.

Demo

Watch the application in action: Mo-Choo Demo

Getting Started

1. Clone the repository.
2. Install dependencies with pip install -r requirements.txt.
3. Run the app using python main.py.

Acknowledgments

Thanks to Tech-Vidvan for their tutorial and base code that contributed to Mo-Choo's development.

Learn More

• Tutorial Source: Hand Gesture Recognition
• Algorithm Details: MediaPipe Hands