There is growing industry interest in creating unobtrusive designs for electrooculography (EOG) sensing of eye gestures on glasses (e.g. JINS MEME and Apple eyewear). We present VergeIO, the first EOG-based glasses that enables depth-aware eye interaction using vergence with an optimized electrode layout and novel smart glass prototype. It can distinguish between four and six depth-based eye gestures with 83-98% accuracy using personalized models in a user study across 20 users and 2,400 gesture instances. It generalizes to unseen users with an accuracy of 77-97% without any calibration. To reduce false detections, we incorporate a motion artifact detection pipeline and a preamble-based activation scheme. The system uses dry sensors without any adhesives or gel, and operates in real time with 3 mW power consumption by the sensing front-end, making it suitable for always-on sensing.
Cite
@article{arxiv.2507.02187,
title = {VergeIO: Depth-Aware Eye Interaction on Glasses},
author = {Xiyuxing Zhang and Duc Vu and Chengyi Shen and Yuntao Wang and Yuanchun Shi and Justin Chan},
journal= {arXiv preprint arXiv:2507.02187},
year = {2026}
}