Information fusion with Bayesian networks for monitoring human fatigue

Proceedings of the 5th International Conference on Information Fusion, FUSION 2002

Volumn 1, Issue , 2002, Pages 535-542

  Lan, Peilin ^a   Ji, Qiang ^b   Looney, Carl G ^a  

^a UNIVERSITY OF NEVADA   (United States)

^b RENSSELAER POLYTECHNIC INSTITUTE   (United States)

Author keywords

Bayesian Networks; human fatigue; information fusion

Indexed keywords

BAYESIAN NETWORKS; FATIGUE TESTING; INFORMATION FUSION;

BAYESIAN NETWORKS (BNS); BEHAVIORAL STUDIES; COGNITIVE STATE; CONTEXTUAL INFORMATION; FACIAL EXPRESSIONS; HUMAN FATIGUE; INTEGRATING INFORMATION; PROBABILISTIC MODELING;

BEHAVIORAL RESEARCH;

EID: 34249289110     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIF.2002.1021200     Document Type: Conference Paper

References (25)

1. Rosekind, M. R., Co, E. L., Gregory, K. B. and Miller, D. L., Crew Factors in Flight Operations XIII: A Survey of Fatigue Factors in Corporate/Executive Aviation Operations, National Aeronautics and Space Administration, Ames Research Center Moffett Field, California 94035, NASA/TM-2000-209610, September 2000.
2. Co, E. L., Gregory, K. B., Johnson, J. M. and Rosekind, M. R., Crew Factors in Flight Operations XI: A Survey of Fatigue Factors in Regional Airline Operations, National Aeronautics and Space Administration, Ames Research Center Moffett Field, California 94035, NASA/TM-1999-208799, October 1999.
3. Pena, F., Fatigue Symposium Proceedings, National Transportation Safety Board and NASA Ames Research Center, November 1-2, 1995, pp. 7.
4. Danaher, J., Fatigue Symposium Proceedings, National Transportation Safety Board and NASA Ames Research Center, November 1-2, 1995, pp.11.
5. Sherry, P., Fatigue Countermeasures in the Railroad Industry-Past and Current Developments, Counseling Psychology Program, Inter-modal Transportation Institute, University of Denver, June 2000.
6. Qiang Ji and Xiaojie Yang, A Computer Vision System for Real Time Driver Alertness Monitoring", in Press, Real Time Imaging, 2002.
7. Qiang Ji and Xiaojie Yang, Real time visual cues extraction for monitoring driver vigilance, International Workshop on Computer Vision Systems, July 7-8, 2001, Vancouver, Canada.
8. Rosekind, M. R., Gregory, K. B., Co, E. L., Miller, D. L. and Dinges, D. F., Crew Factors in Flight Operations XII: A Survey of Sleep Quantity and Quality in On-Board Crew Rest Facilities, National Aeronautics and Space Administration, Ames Research Center Moffett Field, California 94035, NASA/TM-2000-209611, September 2000.
9. Wood, L., Fatigue, The Multiple Sclerosis Resource Center (MSRC), www.msrc.co.uk/text-fatigue.html, UK, August, 2001.
10. Rosekind, M. R., Physiological Considerations of Fatigue, Fatigue Symposium Proceedings, National Transportation Safety Board and NASA Ames Research Center, November 1-2, 1995, pp.17.
11. Czeisler, C. A., Fatigue Symposium Proceedings, National Transportation Safety Board and NASA Ames Research Center, November 1-2, 1995, pp.59.
12. Harris, W., Fatigue, Circadian Rhythm, and Truck Accidents, Vigilance: Theory, Operational Performance, and Physiological Correlates, edited by R, Mackie, Plenum Press, New York.
13. Boverie, S., et al, Intelligent systems for video monitoring of vehicle cockpit, 1998 International congress and exposition ITS: Advanced controls and vehicle navigation systems, 1998, pp.1-5.
14. Ishii, T., et al, Automatic recognition of driver's facial expression by image analysis, Journal of JSAE, 1987, 41(12):1398-1403.
15. Saito, H., et al, Applications of driver's line of sight to automobiles-what can driver's eye tell. Proceedings of 1994 Vehicle navigation and information systems conference, Yokohama, Japan, Aug. 1994, pp.21-26.
16. Ueno, H., et al, Development of drowsiness detection system, Proceeding of 1994 Vehicle navigation and information systems conference, Yokohama, Japan, Aug. 1994, pp. 15-20.
17. Jordan, M. I., editor, Learning in Graphical Models, MIT press, 1999.
18. Li, H., An Introduction to Belief Networks, Technical Research Report, CSHCN T. R. 99-31 (ISR T. R. 99-58), 1998.
19. Looney, C. G., Bayesian/Belief Networks, Lecture for CS 773c-Intelligent Systems Applications: Information Fusion, Unit 8, Department of Computer Science, University of Nevada at Reno, October 2001, http://ultima.cs.unr.edu/ cs773c/.
20. Jensen, F. V., Bayesian Networks and Decision Graphs, Statistics for Engineering and Information Science, Springer, 2001.
21. Microsoft Research Center, online MSBNx Editor Manual and software download, 2002, http://research.microsoft.com/adapt/MSBNx/.
22. Wierville, W. W., 1994, Overview of research on driver drowsiness definition and driver drowsiness detection, ESV, Munich.
23. Wierville W. W. and L. A. Ellsworth and et al., Research on vehicle based driver status/performance monitoring: development, validation, and refinement of algorithms for detection of driver drowsiness, National Highway Traffic Safety Administration Final Report: DOT HS 808 247, 1994.
24. David F. Dinges and M. Mallis and G. Maislin and J. W. Powell, Evaluation of techniques for ocular measurement as an index of fatigue and the basis for alertness management, Department of Transportation Highway Safety publication 808 762, April, 1998.
25. Anon, Proximity Array Sensing System: head position monitor/metric, Advanced safety concepts, Inc. Sante Fe, NM87504, 1999.