VergeIO : Depth-Aware Eye Interaction on Glasses
There is growing industry interest in unobtrusive designs for electrooculography (EOG) sensing of eye gestures on glasses (e.g. JINS MEME and Apple eyewear). We present VergeIO , an EOG-based glasses system that enables depth-aware eye interaction by sensing vergence with a glasses-compatible electrode layout and smart glass prototype. It can distinguish between four depth-based eye gestures with 97% accuracy on unseen users without any calibration in a user study across 20 users and 1,520 gesture instances. 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 analog sensing front-end.
Authors
- Yuanchun Shi (ORCID: https://orcid.org/0000-0003-2273-6927)
- Justin Chan (ORCID: https://orcid.org/0000-0002-1471-6187)
- Xiyuxing Zhang (ORCID: https://orcid.org/0009-0002-9337-2278)
- Chengyi Shen (ORCID: https://orcid.org/0000-0002-9134-855X)
- Yuntao Wang (ORCID: https://orcid.org/0000-0002-4249-8893)
- Duc Vu (ORCID: https://orcid.org/0009-0003-5072-2992)
- Ruiqi Hong (ORCID: https://orcid.org/0009-0002-7305-9233)
- Zhikai Qin (ORCID: https://orcid.org/0009-0008-7559-3265)
Institutions
- Qinghai University (CN)
- Wuhan University (CN)
- Beijing National Research Center for Information Science and Technology (CN)
- Carnegie Mellon University (US)
- Zhejiang University (CN)
- Tsinghua University (CN)
Publication Details
- Journal
- Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
- Published
- 2026-09-30
- DOI
- https://doi.org/10.1145/3831627
- Primary Topic
- Gaze Tracking and Assistive Technology
- Type
- article
- Field-Weighted Citation Impact
- 0.00