论文标题
通过电容感测的非接触,实时眼睛眨眼检测
Non-contact, real-time eye blink detection with capacitive sensing
论文作者
论文摘要
这项工作描述了一种基于电容感应技术的新型非接触,可穿戴,实时眼眨眼检测解决方案。开发了低成本和低功率的电容感应原型,并部署在一对标准玻璃上,并在玻璃框架上附有铜电极。眼睛眨眼的作用会导致电极和眼睑之间的电容变化。因此,通过监视电容变化引起振荡频移信号,可以通过对原始频率信号和自定义阈值的原始频率信号进行简单比较来提取眼睛眨眼。在八个志愿者执行的五种情况下,证明了拟议解决方案的可行性和鲁棒性,平均精度为92 \%,回忆为94 \%。
This work described a novel non-contact, wearable, real-time eye blink detection solution based on capacitive sensing technology. A low-cost and low-power consumption capacitive sensing prototype was developed and deployed on a pair of standard glasses with a copper electrode attached to the glass frame. The eye blink action will cause the capacitance variation between the electrode and the eyelid. Thus by monitoring the capacitance variation caused oscillating frequency shift signal, the eye blink can be abstracted by a simple comparison of the raw frequency signal with a customized threshold. The feasibility and robustness of the proposed solution were demonstrated in five scenarios performed by eight volunteers with an average precision of 92\% and recall of 94\%.