A YOLO-based pen-tip tracker plus kinematic features and ML classification detects Pen-Up events in handwriting videos at F2=0.805 under leave-one-video-out evaluation on a pilot dataset.
Weighted Intersection over Union (wIoU) for Evaluating Image Segmentation,
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Detecting Pen-In-Air States from Video: A Proof-of-Concept Toward Complementary Handwriting Analysis
A YOLO-based pen-tip tracker plus kinematic features and ML classification detects Pen-Up events in handwriting videos at F2=0.805 under leave-one-video-out evaluation on a pilot dataset.