DocumentCode :
1723814
Title :
Human visual attention with context-specific top-down saliency
Author :
Kang, Dooseok ; Lee, Sukhan ; Lee, Yu-Bu
Author_Institution :
Dept. of Electr. & Comput. Eng., Sungkyunkwan Univ., Suwon, South Korea
fYear :
2011
Firstpage :
2055
Lastpage :
2060
Abstract :
Human visual attention is an area of research that has a strong effect on the field of human-robot-interaction. It has various applications for human-care robots and service robots. The ability of human visual attention to acquire knowledge on informative objects through interaction with the environment is an important research issue in the field of human-computer interaction and augmented cognition. Such knowledge can be acquired by automatically detecting visually attentive regions using the fixation extracted from eye-tracking data. Therefore, the optimal fixation must be selected from human eye-tracking data to detect the region of interest. In this paper, eye movement tracking was accurately used to capture human eye movements and to characterize the location and extent of a user´s interest as an input mechanism to drive the interaction system. Furthermore, both top-down and bottom-up processes of the human visual system were at work in the process of selective attention. The correlation between human eye movement information and the bottom-up saliency map was calculated and compared with the correlation that was calculated by combining the top-down and bottom-up processes. The experiment results showed that the human visual attention system cannot be constructed with the bottom-up process alone and requires the combination of the top-down and bottom-up processes together.
Keywords :
augmented reality; cognition; eye; human-robot interaction; object detection; augmented cognition; bottom-up process; context-specific top-down saliency; eye movement tracking; human eye-tracking data; human visual attention; human-care robots; human-computer interaction; human-robot-interaction; service robots; top-down process; Correlation; Dispersion; Humans; Image color analysis; Image edge detection; Skin; Visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Biomimetics (ROBIO), 2011 IEEE International Conference on
Conference_Location :
Karon Beach, Phuket
Print_ISBN :
978-1-4577-2136-6
Type :
conf
DOI :
10.1109/ROBIO.2011.6181594
Filename :
6181594
Link To Document :
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