IEEE Trans Biomed Circuits Syst. 2024 Apr;18(2):322-333. doi: 10.1109/TBCAS.2023.3325547. Epub 2024 Apr 1.
Human eye activity has been widely studied in many fields such as psychology, neuroscience, medicine, and human-computer interaction engineering. In previous studies, monitoring of human eye activity mainly depends on electrooculogram (EOG) that requires a contact sensor. This article proposes a novel eye movement monitoring method called continuous wave doppler oculogram (cDOG). Unlike the conventional EOG-based eye movement monitoring methods, cDOG based on continuous wave doppler radar sensor (cDRS) can remotely measure human eye activity without placing electrodes on the head. To verify the feasibility of using cDOG for eye movement monitoring, we first theoretically analyzed the association between the radar signal and the corresponding eye movements measured with EOG. Afterward, we conducted an experiment to compare EOG and cDOG measurements under the conditions of eyes closure and opening. In addition, different eye movement states were considered, including right-left saccade, up-down saccade, eye-blink, and fixation. Several representative time domain and frequency domain features obtained from cDOG and from EOG were compared in these states, allowing us to demonstrate the feasibility of using cDOG for monitoring eye movements. The experimental results show that there is a correlation between cDOG and EOG in the time and frequency domain features, the average time error of single eye movement is less than 280.5 ms, and the accuracy of cDOG in eye movement detection is higher than 92.35%, when the distance between the cDRS and the face is 10 cm and eyes is facing the radar directly.
人类眼动活动在心理学、神经科学、医学和人机交互工程等多个领域得到了广泛研究。在以往的研究中,人类眼动的监测主要依赖于需要接触传感器的眼电图(EOG)。本文提出了一种新的眼动监测方法,称为连续波多普勒眼图(cDOG)。与传统的基于 EOG 的眼动监测方法不同,基于连续波多普勒雷达传感器(cDRS)的 cDOG 可以在不将电极放置在头部的情况下远程测量人类眼动。为了验证使用 cDOG 进行眼动监测的可行性,我们首先从理论上分析了雷达信号与通过 EOG 测量的相应眼动之间的关联。随后,我们进行了一项实验,比较了在闭眼和睁眼条件下 EOG 和 cDOG 的测量结果。此外,还考虑了不同的眼动状态,包括左右扫视、上下扫视、眨眼和注视。在这些状态下,我们比较了从 cDOG 和 EOG 获得的几个有代表性的时域和频域特征,证明了使用 cDOG 监测眼动的可行性。实验结果表明,在时域和频域特征中,cDOG 与 EOG 之间存在相关性,单次眼动的平均时间误差小于 280.5 毫秒,当 cDRS 与面部之间的距离为 10 厘米且眼睛直接面对雷达时,cDOG 对眼动检测的准确率高于 92.35%。