Sensor fusion using dempster-shafer theory II: Static weighting and Kalman filter-like dynamic weighting

Conference Record - IEEE Instrumentation and Measurement Technology Conference

Volumn 2, Issue , 2003, Pages 907-912

  Wu, Huadong ^a   Siegel, Mel ^a   Ablay, Sevim ^b  

^a CARNEGIE MELLON UNIVERSITY   (United States)

^b MOTOROLA INC   (United States)

Author keywords

Context aware computing; Dempster Shafer theory; Human computer interaction; Kalman filtering; Sensor fusion

Indexed keywords

HUMAN COMPUTER INTERACTION; KALMAN FILTERING; RELIABILITY; ELECTRONIC MAIL; FORMAL LOGIC; INFORMATION SERVICES; KALMAN FILTERS; WEBSITES;

CONTEXT-AWARE COMPUTING;

SENSOR DATA FUSION; ELECTRONIC MAIL FILTERS;

CONTEXT AWARE SERVICES; CONTEXT- AWARENESS; FILTERING THEORY; SENSOR FUSION; SENSOR SYSTEMS; WORKING ENVIRONMENT;

EID: 0037484230     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. H. Wu, M. Siegel, and S. Ablay, "Sensor Fusion for Context Understanding," presented at IEEE International Measurement Technology Conference (IMTC) 2002, Anchorage AK USA, 2002.
2. H. Wu, M. Siegel, R. Stiefelhagen, and J. Yang, "Sensor Fusion Using Dempster-Shafer Theory," presented at IEEE International Measurement Technology Conference (IMTC) 2002, Anchorage AK USA, 2002.
3. Rainer Stiefelhagen, Jie Yang, Alex Waibel, "Estimating Focus of Attention Based on Gaze and Sound", Proceedings of Workshop on Perceptive User Interfaces PUI 2001, Orlando, Florida, USA
4. Lawrence A. Klein, "Sensor and Data Fusion Concepts and Applications" (second edition), SPIE Optical Engineering Press, 1999, ISBN 0-8194-3231-8.
5. Glenn Shafer, A Mathematical Theory of Evidence, Princeton University Press, 1976.
6. Advances in the Dempster-Shafer Theory of Evidence, edited by Ronald R. Yager, Janusz Kacprzyk, and Mario Fedrizzi. Wiley, 1993.