An augmented reality wardrobe with virtual try-on and size recommendations

Abstract

The present invention is related to an augmented reality wardrobe with virtual try-on and size recommendations. This virtual try-on application uses computer vision and pose detection to enable gesture-based navigation through a collection of shirts. By tracking wrist movements, users can interact with virtual buttons to cycle through shirt options, displayed in a slideshow. The system provides real-time feedback, highlighting the selected shirt, and demonstrates the potential for interactive fashion experiences in e-commerce and augmented reality.