Recognition of reading activity from the saccadic samples of electrooculography data
Recognition of reading activity from the saccadic samples of electrooculography data
复制标题
从眼电图数据的扫视样本中识别阅读活动
DOI：
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
Mohiudding Ahmad
中科院分区：
文献类型：
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作者：
Kristie Huda;Md Shazzad Hossain;Mohiudding Ahmad
本文介绍了人类活动的识别，包括眼睛的模式运动，如阅读。对人类活动的识别是实现无处不在的上下文感知计算机应用程序的重要组成部分，在这些应用程序中，计算机可以以更具交互性的方式与人类进行通信。眼动是一种潜在的活动识别工具，因为大多数人类活动都涉及眼睛的运动。本文介绍了一种通过眼动模式识别阅读活动的方法。眼电图（EOG）信号被用来根据静电电位来量化眼球运动。EOG信号是用电极记录的，电极放置在眼睛周围的适当位置。然后分析提取的EOG信号，以检测与阅读活动相关的眼球运动模式。
In this paper, recognition of human activity, involving patterned eye movements, such as reading is introduced. Recognition of human activities is an important part in implementing ubiquitous, context-aware computer applications where computers can communicate with humans in a more interactive manner. Eye movement is a potential instrument in activity recognition as most of human activities involve movement of eyes. This paper describes a method to recognize reading activity from the eye movement patterns. Electrooculography (EOG) signal is used to quantify the eye movements in terms of electrostatic potential. The EOG signal is recorded using electrodes, placed at appropriate positions around the eyes. The extracted EOG signal is then analysed to detect eye movement patterns in connection to reading activity.
影响因子：
16.6
作者：
Bulling, Andreas;Blanke, Ulf;Schiele, Bernt
通讯作者：
Schiele, Bernt