Abstract
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 field of human-computer interaction (HCI), human intentions can be recognized by analyzing gaze information. On the other hand, people's intentions are largely influenced 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 reflect 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.
