首页> 外文会议>International Conference on Soft Computing and Intelligent Systems;International Symposium on Advanced Intelligent Systems >Attention prediction system based on eye tracking and saliency map by fuzzy neural network
【24h】

Attention prediction system based on eye tracking and saliency map by fuzzy neural network

机译:基于眼跟踪和显着性图的注意预测系统通过模糊神经网络

获取原文
获取外文期刊封面目录资料

摘要

Eye tracking is a technique whereby an individual s eye movements are measured so that the researcher knows both where a person is looking at any given time and the sequence in which their eyes are shifting from one location to another. In the research ?eldof human-computer interaction (HCI), human intentions can be recognized by analyzing gaze information. On the other hand, people s intentions are largely inceuenced by a number of objective factors. Therefore, we introduce saliency map as a basis for intention recognition. In the process of saliency map calculation, fuzzy neural network is employed in order to re?ect individual characteristics importance of images. In this study, we propose a method realized the intention recognition by combining gaze information and saliency map of images. To verify the effectiveness of proposed method, an interactive teaching system is constructed based on eye tracking and saliency map by using an omnidirectional wheelchair.
机译:眼睛跟踪是一种技术,其中测量了个体的眼睛运动,使得研究人员知道一个人正在寻找任何给定时间和它们眼睛从一个位置移位的序列。 在研究中?Eldof人计算机相互作用(HCI),可以通过分析凝视信息来识别人类意图。 另一方面,人们的意图在很大程度上受到了许多客观因素的影响。 因此,我们将显着性图作为意图识别的基础。 在显着的图计算过程中,采用模糊神经网络来重新启动图像的单独特征重要性。 在这项研究中,我们提出了一种方法通过组合凝视信息和显着图来实现意图识别。 为了验证所提出的方法的有效性,通过使用全向轮椅基于眼睛跟踪和显着图构造交互式教学系统。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号