Department Cognition, Development and Educational Psychology, University of Barcelona, 08035 Barcelona, Spain.
Bioinformatics and Biomedical Signals Laboratory, Polytechnical University of Catalonia, 08028 Barcelona, Spain.
Sensors (Basel). 2024 Jan 30;24(3):888. doi: 10.3390/s24030888.
(1) Background: Our previous research provides evidence that vergence eye movements may significantly influence cognitive processing and could serve as a reliable measure of cognitive issues. The rise of consumer-grade eye tracking technology, which uses sophisticated imaging techniques in the visible light spectrum to determine gaze position, is noteworthy. In our study, we explored the feasibility of using webcam-based eye tracking to monitor the vergence eye movements of patients with Mild Cognitive Impairment (MCI) during a visual oddball paradigm. (2) Methods: We simultaneously recorded eye positions using a remote infrared-based pupil eye tracker. (3) Results: Both tracking methods effectively captured vergence eye movements and demonstrated robust cognitive vergence responses, where participants exhibited larger vergence eye movement amplitudes in response to targets versus distractors. (4) Conclusions: In summary, the use of a consumer-grade webcam to record cognitive vergence shows potential. This method could lay the groundwork for future research aimed at creating an affordable screening tool for mental health care.
(1) 背景:我们之前的研究提供了证据,表明聚散眼动可能会显著影响认知处理过程,并且可以作为认知问题的可靠测量指标。值得注意的是,消费者级别的眼动追踪技术已经兴起,该技术使用可见光光谱中的复杂成像技术来确定注视位置。在我们的研究中,我们探讨了使用基于网络摄像头的眼动追踪来监测轻度认知障碍 (MCI) 患者在视觉异常范式期间的聚散眼动的可行性。(2) 方法:我们同时使用远程红外瞳孔眼动追踪仪记录眼动位置。(3) 结果:两种追踪方法都有效地捕捉到了聚散眼动,并且表现出了强大的认知聚散反应,即参与者在对目标的反应中表现出更大的聚散眼动幅度,而不是在对分心物的反应中。(4) 结论:总之,使用消费级别的网络摄像头来记录认知聚散显示出了潜力。这种方法可以为未来旨在创建负担得起的心理健康护理筛查工具的研究奠定基础。