3D Unity Game with MPU6050 and TinyML - A Complete Tutorial
During my Google Summer of Code 2022 project with TensorFlow, I developed an exciting 3D Unity game that uses an MPU6050 accelerometer and TinyML for gesture-based controls. This project combines game development, embedded systems, and machine learning in a unique way.
What You’ll Learn
- How to integrate hardware sensors with Unity games
- Implementation of TinyML models on microcontrollers
- Gesture recognition using accelerometer data
- Real-time communication between Arduino and Unity
Key Features
- Gesture-Based Controls: Use hand movements to control game characters
- TinyML Integration: On-device machine learning for gesture recognition
- Real-Time Response: Low-latency communication for smooth gameplay
- Complete Tutorial: Step-by-step guide with code examples
Technical Stack
- Unity 3D: Game engine and development environment
- Arduino: Hardware platform for sensor integration
- TensorFlow Lite: Machine learning framework for embedded devices
- MPU6050: 6-axis accelerometer and gyroscope sensor
The project received over 27,000 views on Hackster.io and has become a popular tutorial for anyone interested in combining IoT, AI, and game development.