Detection of Saccades and Postsaccadic Oscillations in the Presence of Smooth Pursuit
Detection of Saccades and Postsaccadic Oscillations in the Presence of Smooth Pursuit
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DOI：
10.1109/tbme.2013.2258918
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发表时间：
2013-09-01
影响因子：
4.6
通讯作者：
Stridh, Martin
中科院分区：
文献类型：
--
作者：
Larsson, Linnea;Nystrom, Marcus;Stridh, Martin
提出了一种新的算法，用于检测眼跳和postsaccadic振荡的存在下，顺利的追求运动。该方法结合了扫视检测在加速度域与专门的上和偏移标准扫视和postsaccadic振荡。通过将检测结果与现有的基于速度的自适应算法和手动注释的数据库的检测结果进行比较来评估该算法的性能。实验结果表明，在开发和测试数据库中，该算法检测到的事件与标注数据库中的事件有很好的一致性，Cohen's kappa值在0.8左右。总之，该算法准确地检测扫视和postsaccadic振荡以及干扰的间隔。
A novel algorithm for detection of saccades and postsaccadic oscillations in the presence of smooth pursuit movements is proposed. The method combines saccade detection in the acceleration domain with specialized on-and offset criteria for saccades and postsaccadic oscillations. The performance of the algorithm is evaluated by comparing the detection results to those of an existing velocity-based adaptive algorithm and a manually annotated database. The results show that there is a good agreement between the events detected by the proposed algorithm and those in the annotated database with Cohen's kappa around 0.8 for both a development and a test database. In conclusion, the proposed algorithm accurately detects saccades and postsaccadic oscillations as well as intervals of disturbances.