Standardization of Automated Analyses of Oculomotor Fixation and Saccadic Behaviors
Standardization of Automated Analyses of Oculomotor Fixation and Saccadic Behaviors
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DOI：
10.1109/tbme.2010.2057429
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发表时间：
2010-11-01
影响因子：
4.6
通讯作者：
Gowda, Sandeep M.
中科院分区：
文献类型：
--
作者：
Komogortsev, Oleg V.;Gobert, Denise V.;Gowda, Sandeep M.
在标准化的努力，本文评估了五眼动分类算法的性能，在他们的评估眼固视和扫视行为。结果表明，这五种常用算法的性能差异很大，即使在一个简单的刺激诱发任务的情况下，使用一个单一的，共同的阈值。本文的主要贡献是：对五种眼动行为分类算法的性能进行了评价和比较，引入了新的标准化分数并进行了比较，为基于标准化分数的眼动行为分类算法提供了合理的阈值选择逻辑，并对眼动行为分类算法进行了改进。以及用于建立基于标准的基线的逻辑，用于在任何眼睛运动分类算法之间进行性能比较。所提出的技术能够实现有效和客观的临床应用，提供确保有意义的自动眼动分类的手段。
In an effort toward standardization, this paper evaluates the performance of five eye-movement classification algorithms in terms of their assessment of oculomotor fixation and saccadic behavior. The results indicate that performance of these five commonly used algorithms vary dramatically, even in the case of a simple stimulus-evoked task using a single, common threshold value. The important contributions of this paper are: evaluation and comparison of performance of five algorithms to classify specific oculomotor behavior; introduction and comparison of new standardized scores to provide more reliable classification performance; logic for a reasonable threshold-value selection for any eye-movement classification algorithm based on the standardized scores; and logic for establishing a criterion-based baseline for performance comparison between any eye-movement classification algorithms. Proposed techniques enable efficient and objective clinical applications providing means to assure meaningful automated eye-movement classification.