A neuro-fuzzy approach to user attention recognition

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5163 LNCS, Issue PART 1, 2008, Pages 927-936

  Asteriadis, Stylianos ^a   Karpouzis, Kostas ^a   Kollias, Stefanos ^a  

^a NATIONAL TECHNICAL UNIVERSITY OF ATHENS   (Greece)

Author keywords

Eye gaze; Facial feature detection; Head pose; User attention estimation

Indexed keywords

CAMERA PARAMETER; EXTRACTING INFORMATION; EYE GAZE; FACIAL FEATURE DETECTION; HEAD POSE; LIGHTING CONDITIONS; NEURO-FUZZY APPROACH; REAL-TIME APPLICATION; SPECIFIC TASKS; TARGET GROUP; USER ATTENTION; USER ATTENTION ESTIMATION;

BACKPROPAGATION; CAMERAS; COMPUTER MONITORS; E-LEARNING; INTERNET; MULTIMEDIA SYSTEMS; NEURAL NETWORKS;

EYE MOVEMENTS;

EID: 58849117703     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-87536-9_95     Document Type: Conference Paper

References (16)

1. Voit, M., Nickel, K., Stiefelhagen, R.: Multi-view head pose estimation using neural networks. In: Second Canadian Conference on Computer and Robot Vision (CRV), Victoria, BC, Canada, pp. 347-352. IEEE Computer Society, Los Alamitos (2005)
2. Mao, Y., Suen, C.Y., Sun, C., Feng, C.: Pose estimation based on two images from different views. In: Eighth IEEE Workshop on Applications of Computer Vision (WACV), Washington, DC, USA, p. 9. IEEE Computer Society, Los Alamitos (2007)
3. Beymer, D., Flickner, M.: Eye gaze tracking using an active stereo head. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Madison, WI, USA, vol. 2, pp. 451-458. IEEE Computer Society, Los Alamitos (2003)
4. Meyer, A., Böhme, M., Martinetz, T., Barth, E.: A single-camera remote eye tracker. LNCS (LNAI), pp. 208-211. Springer, Heidelberg (2006)
5. Hennessey, C., Noureddin, B., Lawrence, P.D.: A single camera eye-gaze tracking system with free head motion. In: Proceedings of the Eye Tracking Research & Application Symposium (ETRA), San Diego, California, USA, pp. 87-94. ACM, New York (2006)
6. Gee, A., Cipolla, R.: Non-intrusive gaze tracking for human-computer interaction. In: Int. Conference on Mechatronics and Machine Vision in Pract., Toowoomba, Australia, pp. 112-117 (1994)
7. Gourier, N., Hall, D., Crowley, J.: Estimating face orientation from robust detection of salient facial features. In: International Workshop on Visual Observation of Deictic Gestures (ICPR), Cambridge, UK (2004)
8. Seo, K., Cohen, I., You, S., Neumann, U.: Face pose estimation system by combining hybrid ica-svm learning and re-registration. In: 5th Asian Conference on Computer Vision, Jeju, Korea (2004)
9. Stiefelhagen, R.: Estimating Head Pose with Neural Networks - Results on the Pointing 2004 ICPR Workshop Evaluation Data. In: Pointing 2004 Workshop (ICPR), Cambridge, UK (August 2004)
10. Daugman, J.: High confidence visual recognition of persons by a test of statistical independence. IEEE Trans. Pattern Anal. Mach. Intell. 15(11), 1148-1161 (1993)
11. Deng, J.Y., Lai, F.: Region-based template deformation and masking for eye-feature extraction and description. Pattern Recognition 30(3), 403-419 (1997)
12. Viola, P.A., Jones, M.J.: Rapid object detection using a boosted cascade of simple features. In: Conference on Computer Vision and Pattern Recognition (CVPR), Kauai, HI, vol. 1, pp. 511-518 (December 2001)
13. Asteriadis, S., Nikolaidis, N., Pitas, I., Pardas, M.: Detection of facial characteristics based on edge information. In: Second International Conference on Computer Vision Theory and Applications(VISAPP), Barcelona, Spain
14. Zhou, Z.H., Geng, X.: Projection functions for eye detection. Pattern Recognition 37(5), 1049-1056 (2004)
15. Chiu, S.L.: Fuzzy Model Identification Based on Cluster Estimation. Journal of Intelligent and Fuzzy Systems 2(3) (1994)
16. Jang, J.S.R.: ANFIS: Adaptive-Network-Based Fuzzy Inference System. IEEE Transactions on Systems, Man, and Cybernetics 23, 665-684 (1993)