Hand Gesture Recognition Demonstration
In this video, I demonstrate my hand gesture recognition application.
The application works by acquiring images from a USB webcam using the Open Computer Vision (OpenCV) library; identifying a hand using MediaPipe; extracting a hand's Region of Interest (ROI) using the OpenCV; classifying the gesture using my fine-tuned machine learning-based classification model; and annotating the original frame with the predicted gesture, the prediction's confidence, and the prediction's inference time.
I plan to release the application's source code shortly.
