AI RESEARCH
TinyGaze: Lightweight Gaze-Gesture Recognition on Commodity Mobile Devices
arXiv CS.CV
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ArXi:2604.09658v1 Announce Type: cross Gaze gestures can provide hands free input on mobile devices, but practical use requires (i) gestures users can learn and recall and (ii) recognition models that are efficient enough for on-device deployment. We present an end-to-end pipeline using commodity ARKit head/eye transforms and a scaffolded guidance-to-recall protocol grounded in learning theory.