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.

翻译：随着行业对在眼镜上实现无干扰眼动电信号（EOG）手势传感设计的兴趣日益增长（例如JINS MEME和苹果眼镜），我们提出了VergeIO——首款基于EOG、通过优化电极布局与新型智能眼镜原型，利用双眼辐辏实现深度感知眼动交互的眼镜系统。在一项涉及20名用户和2,400个手势实例的用户研究中，该系统通过个性化模型能够以83-98%的准确率区分四至六种基于深度的眼动手势。在未经任何校准的情况下，其对未见用户的泛化准确率可达77-97%。为降低误检测率，我们引入了运动伪影检测流程和基于前导码的激活机制。该系统采用无需粘合剂或导电膏的干式传感器，传感前端功耗仅为3毫瓦并支持实时运行，适用于持续感知场景。