DocumentCode :
2642134
Title :
Extraction of visual attention with gaze duration and saliency map
Author :
Igarashi, Hiroshi ; Suzuki, Satoshi ; Sugita, Tetsuro ; Kurisu, Masamitsu ; Kakikura, Masayoshi
Author_Institution :
21st Century COE Project Office, Tokyo Denki University, 1202 Akihabara-Daibiru, Soto-Kanda, Chiyoda-ku, Japan
fYear :
2006
fDate :
4-6 Oct. 2006
Firstpage :
562
Lastpage :
567
Abstract :
Measurement of gaze is effective to evaluate human operator´s attention, one´s operation skills, perceptional capability and so on. Especially, gaze duration, called fixation time, is often utilized. Generally, it is said that long fixation time is detected when the operator pays attention to something intentionally. However, the duration also depends on saliency of displayed image, especially humans´ perception characteristics are sensitive to intensities of an image. Although a lot of researchers have presented models of visual attention with the saliency map, the high saliency may attract a human gaze even if he/she do not have attention. Therefore, in order to estimate the human attention, we consider human vision characteristics with foveal vision. The foveal vision is used for scrutinizing highly detailed objects, and it also may relate to the attention. In this paper, we propose a new approach to estimate human visual attention by checking gaze duration and a saliency map considering human foveal vision characteristics. The estimation technique was experimented with five participants, and as the results, we found the technique makes aware of the attention more than conventional technique which considers only gaze duration.
Keywords :
Anthropometry; Area measurement; Entropy; Feedback; Humans; Intelligent robots; Mechanical engineering; Mechatronics; Pattern analysis; Robot sensing systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control, 2006 IEEE
Conference_Location :
Munich, Germany
Print_ISBN :
0-7803-9797-5
Electronic_ISBN :
0-7803-9797-5
Type :
conf
DOI :
10.1109/CACSD-CCA-ISIC.2006.4776707
Filename :
4776707
Link To Document :
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