论文标题
眼动轨迹的个体拓扑结构
Individual Topology Structure of Eye Movement Trajectories
论文作者
论文摘要
传统上，从眼动数据中提取模式取决于不同宏观事件（例如固定和扫视）的统计数据。这需要一个额外的预处理步骤，以分离眼睛运动亚型，通常具有许多参数，分类结果取决于这些参数。除此之外，不同研究人员以不同的方式提出了此类宏事件的定义。 我们建议将一类新功能应用于个人眼运动轨迹结构的定量分析。这种基于代数拓扑的新一类特征允许从不同凝视方式的不同方式中提取图案，例如坐标和振幅，热图和点云的时间序列，以从微观到宏的各种规模。我们在实验上证明了新功能与传统功能的竞争力及其重要协同作用，同时在最近发表的眼动轨迹数据集中一起用于人身份验证任务。
Traditionally, extracting patterns from eye movement data relies on statistics of different macro-events such as fixations and saccades. This requires an additional preprocessing step to separate the eye movement subtypes, often with a number of parameters on which the classification results depend. Besides that, definitions of such macro events are formulated in different ways by different researchers. We propose an application of a new class of features to the quantitative analysis of personal eye movement trajectories structure. This new class of features based on algebraic topology allows extracting patterns from different modalities of gaze such as time series of coordinates and amplitudes, heatmaps, and point clouds in a unified way at all scales from micro to macro. We experimentally demonstrate the competitiveness of the new class of features with the traditional ones and their significant synergy while being used together for the person authentication task on the recently published eye movement trajectories dataset.
