Download
Yoha is a browser-based hand tracking engine designed to enable real-time gesture recognition and interaction using standard webcams, making it accessible for web applications without specialized hardware. Built using JavaScript and TensorFlow.js, it runs directly in the browser and performs inference on-device, eliminating the need for server-side processing. The engine is capable of detecting 21 two-dimensional hand landmarks, allowing developers to build applications that respond to gestures such as pinching or forming a fist. Its design focuses on practical usability, meaning it prioritizes common and meaningful gestures that can be easily integrated into interactive experiences like drawing tools, games, or accessibility interfaces. Yoha also includes features for detecting hand presence and distinguishing between left and right hands, which enhances its ability to support nuanced interactions.
Features
- Real-time hand tracking directly in the browser
- Detection of 21 hand landmark coordinates
- Gesture recognition for poses like pinch and fist
- Left and right hand orientation detection
- Built on TensorFlow.js for client-side inference
- Integration-ready for interactive web applications
Project Samples
