Welfare interface implementation using multiple facial features tracking for the disabled people

Pattern Recognition Letters

Volumn 29, Issue 13, 2008, Pages 1784-1796

  Shin, Yunhee ^a   Ju, Jin Sun ^a   Kim, Eun Yi ^a  

^a Konkuk University   (South Korea)

Author keywords

Mean shift algorithm; Neural network; Real time facial feature tracking; Template matching; Video based human computer interface

Indexed keywords

COMPUTER CONTROL SYSTEMS; DETECTORS; NEURAL NETWORKS; TEMPLATE MATCHING;

COMMUNICATION DEVICES; DISABLED PEOPLE; DISABLED USERS; EDGE DETECTORS; FACIAL FEATURES; FACIAL FEATURES TRACKING; MEAN SHIFT (MS); MOUSE CONTROLLER; MOUSE MOVEMENTS; MOUSE OPERATIONS; SKIN COLOR MODELING; TEXTURE CLASSIFIER;

EYE MOVEMENTS;

EID: 48649095351     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2008.05.011     Document Type: Article

References (17)

1. Alon, J., Athitsos, V., Sclaroff, S., 2005. Simultaneous localization and recognition of dynamic hand gestures. In: IEEE Motion Workshop.
2. Betke M., Gips J., and Fleming P. The camera mouse: visual tracking of body features to provide computer access for people with severe disabilities. IEEE Trans. Neural Systems Rehab. Eng. 10 (2002) 1-10
3. Cetingul H.E., Yemez Y., Erzin E., and Tekalp A.M. Discriminative analysis of lip motion features for speaker identification and speech-reading. IEEE Trans. Image Process. 15 (2006) 2879-2891
4. Chan A.D.C., Englehart K., Hudgins B., and Lovely D.F. Hidden markov model classification of myoelectric signals in speech. IEEE Eng. Med. Biol. Mag. 21 4 (2002) 143-146
5. Chang J.-C. Distance-increasing mappings from binary vectors to permutations that increase hamming distances by at least two. IEEE Trans. Inform. Theory 52 4 (2006) 1683-1689
6. Comaniciu D., Ramesh V., and Meer P. Kernel-based object tracking. IEEE Trans. Pattern Anal. Mach. Intell. 25 5 (2003) 564-577
7. Stefanov D.H., Bien Z., and Bang W.-C. The smart house for older persons and persons with physical disabilities: structure, technology arrangements, and perspectives. IEEE Trans. Neural System Rehab. Eng. 12 (2004)
8. Hel-Or Y., and Hel-Or H. Real-Time pattern matching using projection kernels. IEEE Trans. Pattern Anal. Mach. Intell. 27 9 (2005) 1430-1445
9. Hsu R., Abdel-Mottaleb M., and Jain A.K. Face detection in color images. IEEE Trans. Pattern Anal. Mach. Intell. 24 (2002) 696-706
10. Kim K.I., and Jung K. Texture-based approach for text detection in images using support vector machines and continuously adaptive mean shift algorithm. IEEE Trans. Pattern Anal. Mach. Intell. 25 (2003) 1631-1639
11. Kim, Eun Yi, Kang, Sin Kuk, 2006. Eye tracking using neural network and mean-shift. LNCS, vol. 3982, pp. 1200-1209.
12. Magee J.J., Betke M., Scott M.R., and Waber B.N. A real-time vision interface based on gaze detection - EyeKeys. In: Kisacanin B., Pavlovic V., and Huang T.S. (Eds). Real-Time Vision for Human-Machine Interaction (2005), Springer
13. Matsumoto, Y., Ino, T., Ogasawara, T., 2001. Development of intelligent wheelchair system with face and gaze based interface. In: IEEE Internat. Workshop on Robot and Human Communications, pp. 262-267.
14. Scassellati, Brian, 1998. Eye Finding via Face Detection for a Foveated, Active Vision System. American Association for Artificial Intelligence.
15. Takami O., Morimoto K., Ochiai T., and Ishimatsu T. Computer interface to use head and eyeball movement for handicapped people. IEEE Conf. Systems Man Cybernet. (1995) 1119-1123
16. Zhang Jian, Kaynak, M.N., Cheok, A.D., Chung, Ko Chi, 2001. Real-time lip tracking for virtual lip implementation in virtual environments and computer games. In: IEEE Conference, vol. 3, pp. 1359-1362.
17. Zhu Z., and Ji Q. Robust real-time eye detection and tracking under variable lighting conditions and various face orientations. Comput. Vision Image Understand. 38 1 (2005) 124-154