SOURCE-LINKED INTELLIGENCE
Frame-Synchronous Hand Gesture Detection by Projected Winding Order
Gesture recognition on video is normally posed as classification: label each frame, then act on the label. That is adequate for control, where a command may be obeyed several frames late without a user noticing, and inadequate for synchronisation, where an output must be aligned to the frame on which the gesture physically occurred. We take the synchronisation problem for one common movement, the rotation of an open hand about its long axis, and show that it admits an exact solution needing no classifier, no training data and no calibration. Let s be the normalised two-dimensional cross produc
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-07T17:21:42.000Z
First collected: 2026-09-20T20:32:20.942Z. This is not the publication date.