Gesture Recognition Image Data Labeler
I worked on gesture recognition and feature extraction for a 6-DOF robotic arm using video frames and CNNs. This involved manually labeling image data for gesture types and specific joint movements. The labeled data was used to train models for real-time gesture classification and robotic arm control. • Annotated hand gestures and movements in visual datasets for supervised learning. • Utilized CNN and MediaPipe for robust feature extraction and labeling. • Labeled frames to map movements to corresponding robotic actions. • Supported accurate real-time robotic joint classification.