Control computer with hand gestures
🔥 Motivation
This project was developed as part of a three-month challenge organized by the JS Club at FPT University for new collaborators.
🗺️ Overview
The goal of Touchless is to provide an alternative way to interact with computer.
By using hand tracking, gesture recognition and a node-based logic editor, the app allows for customizable actions such as switching slides during presentations or controlling simple games.
💻 Tech Stack & Features
Hand Tracking: Uses the MediaPipe Web API for hand landmark estimation.
Gesture Recognition: Custom classification model (Gesture Classifier).
Customizable Logic: A node-based editor allows users to creating custom logic (e.g., mapping a hand wave to the "Space" key).
🌨️ Project Status
This project has been discontinued and is now a public archive.
While development has ceased due to the team's academic and professional commitments, the source code remains available for educational purposes and as a record of the team's collaborative work.
🚀 Downloads
Although the project is archived, you can still download the compiled versions from the GitHub releases:
- Latest (v0.1.2): Download here
- Proof of Concept (PyQt): Download here
👨💻 Development Team
The project was a collaboration by first and second-year students, supported by mentors from the JS Club.
Mentors & Support
Nguyễn Tuấn Vũ (Mentor)
Phạm Vũ Thái Minh (Takecare)
Nguyễn Huy Hào (Takecare)
Trần Ngọc Huy (Takecare)
Nguyễn Thanh Mai (Takecare)
Core Team
Nguyễn Thế Anh (Leader – App, AI Dev)
Ngô Đức Lương (Fullstack Dev)
Phan Nguyễn Trường Sơn (Fullstack Dev)
Ngô Thương Huyền (Frontend Dev)
Tăng Toàn Thắng (Frontend Dev)
Chung Văn Duy (Backend Dev)
🔗 Related Links
Landing Page (unmaintained): Live Demo
Landing Page Repository: GitHub
Gesture Classifier Model: GitHub
Original PoC (PyQt Version): Touchless-PyQt
Developed with passion by Team 3 Gen 12 - JS Club
