Motion-corrected eye tracking (MoCET) improves gaze accuracy during visual fMRI experiments

Dataset Description: MoCET Study – Head Motion Parameters and Eye Tracking Data

This dataset contains the head motion parameters and eye tracking data used in the Motion-Corrected Eye Tracking (MoCET) study, which investigates the impact of head motion on gaze accuracy in fMRI experiments and proposes a method for drift correction.

Contents:

Head motion parameters (*.tsv): Six-degree-of-freedom (6 DoF) motion estimates derived from fMRI preprocessing, including translations (X, Y, Z) and rotations (pitch, yaw, roll).

ex) sub-003_ses-07R_task-mcHERDING_run-1_desc-confounds_timeseries.tsv

Pupil data (*.csv): Raw pupil coordinates recorded at high temporal resolution.

ex) sub-003_ses-07R_task-mcHERDING_run-1_recording-eyetracking_physio_log.csv

Eye tracking (*.txt): Data file (_dat) logs the time interval between video frames and is used to match video frames to actual time. History file (_his) logs the TTL signal from the MRI scanner and is used to match eye tracking data to fMRI data

sub-003_ses-07R_task-mcHERDING_run-1_recording-eyetracking_physio_dat.txt

sub-003_ses-07R_task-mcHERDING_run-1_recording-eyetracking_physio_his.txt

Usage:

This dataset can serve as a benchmark for evaluating eye tracking drift correction methods and is particularly useful for:

Investigating head motion-induced gaze errors in fMRI experiments.

Validating motion correction techniques for high-precision eye tracking.

Developing and testing new algorithms for eye tracking in neuroimaging research.

Restrictions:

Neuroimaging and gameplay data are not included due to privacy and storage constraints.

This dataset is intended for research purposes only.

数据集说明：MoCET研究——头部运动参数与眼动追踪数据
本数据集收录了运动校正眼动追踪（Motion-Corrected Eye Tracking，MoCET）研究中使用的头部运动参数与眼动追踪数据，该研究旨在探究功能磁共振成像（functional magnetic resonance imaging，fMRI）实验中头部运动对注视精度的影响，并提出了一种漂移校正方法。

数据集内容：
头部运动参数（*.tsv）：来自fMRI预处理的六自由度（Six-degree-of-freedom，6 DoF）运动估计数据，包含平移分量（X、Y、Z轴）与旋转分量（俯仰、偏航、滚转）。
示例：sub-003_ses-07R_task-mcHERDING_run-1_desc-confounds_timeseries.tsv

瞳孔数据（*.csv）：以高时间分辨率采集的原始瞳孔坐标数据。
示例：sub-003_ses-07R_task-mcHERDING_run-1_recording-eyetracking_physio_log.csv

眼动追踪数据（*.txt）：分为两类文件，_dat后缀文件记录视频帧之间的时间间隔，用于将视频帧与实际时间对齐；_his后缀文件记录磁共振成像（Magnetic Resonance Imaging，MRI）扫描仪的TTL（Transistor-Transistor Logic）信号，用于将眼动追踪数据与fMRI数据进行配准。
示例：
sub-003_ses-07R_task-mcHERDING_run-1_recording-eyetracking_physio_dat.txt
sub-003_ses-07R_task-mcHERDING_run-1_recording-eyetracking_physio_his.txt

数据集用途：
本数据集可作为评估眼动追踪漂移校正方法的基准数据集，尤其适用于以下场景：
1. 探究fMRI实验中头部运动引发的注视误差；
2. 验证高精度眼动追踪的运动校正技术；
3. 开发并测试神经影像研究中眼动追踪的新型算法。

使用限制：
受隐私与存储条件限制，本数据集未包含神经影像与游戏相关数据。
本数据集仅可用于科研用途。