A real-time hand tracking and multimedia-based system for breast self-examination: The simplified 3D hand model

Proceedings of the IEEE/EMBS Region 8 International Conference on Information Technology Applications in Biomedicine, ITAB

Volumn 2003-January, Issue , 2003, Pages 146-148

  Hu, Yuqin ^a   Naguib, R N G ^a   Todman, A G ^a   Amin, S ^a   Oikonomou, A ^a   Alomishy, H ^b  

^a Faculty of Engineering and Computing   (United Kingdom)

^b WALSGRAVE HOSPITAL   (United Kingdom)

Author keywords

3D hand model; biomedical image processing; Breast cancer; image tracking; machine vision; pattern recognition

Indexed keywords

AUDIO SYSTEMS; COMPUTER KEYBOARDS; COMPUTER VISION; DEGREES OF FREEDOM (MECHANICS); DISEASES; END EFFECTORS; IMAGE PROCESSING; INTERACTIVE COMPUTER SYSTEMS; MEDICAL IMAGE PROCESSING; MEDICAL IMAGING; MULTIMEDIA SYSTEMS; PATTERN RECOGNITION; PATTERN RECOGNITION SYSTEMS; REAL TIME SYSTEMS;

3D HAND MODEL; BREAST CANCER; BREAST SELF-EXAMINATION; IMAGE TRACKING; INTERACTIVE MULTIMEDIA; REAL-TIME FEEDBACK; SCREENING PROCEDURES; THREEDIMENSIONAL (3-D);

PALMPRINT RECOGNITION;

EID: 84894384005     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ITAB.2003.1222494     Document Type: Conference Paper

References (10)

1. The American Cancer Association http://www.md-phc. com/breast/breast.html
2. Bart J.Harvey, Anthony B. Miller, Cornelia J. "Effect of BSE techniques on the risk of death from breast cancer", CMAJ, Vol. 157, pp. 205-121, 1997.
3. E. A. Coleman and H. Pennypacker, "Measuring breast self-examination proficiency", Cancer Nursing, Vol. 14, No. 4,pp211-217, 1991.
4. S. B. Leitht and N. S. Leslie, "Development of a competency-based curriculum for training women in breast self-examination skills", American Nursing, Vol. 10, No. 7, pp297-302, July 1998.
5. The Susan G. Komen Breast Cancer Foundation http://www.komen.org
6. The Mammacare Personal Learning System. http://www.mammacare.com/personal.html
7. Y. Wu and T. S. Huang, "Capturing articulated human hand motion: A divide-and-conquer approach", In Proc. of Int'l Conf. on Computer Vision, Greece, 1999.
8. E. J. Holden, R. Owens and G. G. Roy, "3D hand tracker for visual sign recognition", Technical Report Vol. 2 Department of Computer Science, The University of Western Australia, 1999.
9. J. Regh and T .Kanade, "DigitEyes: vision-based human hand tracking", Technical Report CMU-CS-03-220, School of Computer Science, Carnegie Mellon University, 1993.
10. B. Dorner, "Chasing the colour glove: visual hand tracking", Technique report, Department of Computer Science, Simon Fraser University, 1994.