Spontaneous Gaze Gesture Interaction in the Presence of Noises and Various Types of Eye Movements
Spontaneous Gaze Gesture Interaction in the Presence of Noises and Various Types of Eye Movements
复制标题
存在噪声和各种类型的眼球运动时的自发注视手势交互
DOI：
10.1145/3379156.3391363
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发表时间：
2020
期刊：
影响因子：
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通讯作者：
N. A. Setiawan
中科院分区：
文献类型：
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作者：
S. Wibirama;Suatmi Murnani;N. A. Setiawan
注视手势对空间精度不敏感，是一种自发的、普遍的注视交互的理想技术。遗憾的是，基于注视手势的目标选择利用相关系数容易受到噪声的影响，导致目标选择精度较低。此外，在基于凝视手势的对象选择中出现的各种类型的眼球运动的影响还没有得到适当的解决。为了克服这些问题，我们提出了一种基于一阶IIR滤波器的基于凝视手势的目标选择去噪方法和一种基于隐马尔可夫模型的事件检测方法。实验结果表明，该方法的目标选择精度最高。结果表明，在噪声和各种类型的眼球运动存在的情况下，自发的基于注视手势的对象选择是可行的。
Gaze gesture is a desirable technique for a spontaneous and pervasive gaze interaction due to its insensitivity to spatial accuracy. Unfortunately, gaze gesture-based object selection utilizing correlation coefficient is prone to a low object selection accuracy due to presence of noises. In addition, effect of various types of eye movements that present in gaze gesture-based object selection has not been tackled properly. To overcome these problems, we propose a denoising method for gaze gesture-based object selection using First Order IIR Filter and an event detection method based on the Hidden Markov Model. The experimental results show that the proposed method yielded the best object selection accuracy of . The result suggests that a spontaneous gaze gesture-based object selection is feasible to be developed in the presence of noises and various types of eye movements.