用60-90Hz的VR眼镜追踪器,精准检测眼跳并分析双眼差异。
The Detection of Saccadic Eye Movements and Per-Eye Comparisons using Virtual Reality Eye Tracking Devices
- 基于VR头显眼动追踪技术,开发检测眼跳的原型软件。
- 在60或90Hz采样率下实现眼跳事件的准确识别。
- 适合神经科学研究者用于筛查神经系统疾病。
眼动追踪在诊断与筛查中具有应用价值,但传统设备设置复杂且采样频率较高。本研究利用头戴式虚拟现实(VR)头显内置的眼动追踪器,探索其在检测眼跳运动中的可行性。研究聚焦于60或90Hz采样率下,能否准确识别眼跳,并分析个体双眼间的差异。通过构建基于VR眼动技术的原型软件,验证其对眼跳事件的检测能力及双侧眼动特征的对比分析。该方法可降低眼动研究门槛,推动神经科学领域应用。研究受限于时间短,且所用设备最高仅支持90Hz采样。
原文摘要 · Abstract (English)
Eye tracking has been found to be useful in various tasks including diagnostic and screening tools. However, traditional eye trackers had a complicated setup and operated at a higher frequency to measure eye movements. The use of more commonly available eye trackers such as those in head-mounted virtual reality (VR) headsets greatly expands the utility of these eye trackers for research and analytical purposes. In this study, the research question is focused on detecting saccades, which is a common task when analyzing eye tracking data, but it is not well-established for VR headset-mounted eye trackers. The aim is to determine how accurately saccadic eye movements can be detected using an eye tracker that operates at 60 or 90Hz. The study involves VR eye tracking technology and neuroscience with respect to saccadic eye movements. The goal is to build prototype software implemented using VR eye tracking technology to detect saccadic eye movements, and per-eye differences in an individual. It is anticipated that the software will be able to accurately detect when saccades occur and analyze the differences in saccadic eye movements per-eye. The field of research surrounding VR eye tracking software is still developing rapidly, specifically its applications to neuroscience. Since previous methods of eye tracking involved specialized equipment, using commercially and consumer available VR eye tracking technology to assist in the detection of saccades and per-eye differences would be novel. This project will impact the field of neuroscience by providing a tool that can be used to detect saccadic eye movements and neurological and neurodegenerative disorders. However, this project is limited by the short time frame and that the eye tracker used in this study operates at a maximum frequency of 90Hz.
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