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Volumn , Issue , 2008, Pages 193-200

Hybrid tracking of human operators using IMU/UWB data fusion by a Kalman filter

Author keywords

Data fusion; Human tracking and monitoring; Indoor location; Inertial sensors; Kalman filter; Motion capture; UWB

Indexed keywords

HUMAN TRACKING; HUMAN TRACKING AND MONITORING; INDOOR LOCATION; INERTIAL SENSOR; MOTION CAPTURE; UWB;

EID: 70449519950     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1349822.1349848     Document Type: Conference Paper
Times cited : (133)

References (13)
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  • 2
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    • Studies of Human Locomotion: Past, Present and Future
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  • 3
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    • GPS/IMU Data Fusion Using Multisensor Kalman Filtering: Introduction of Contextual Aspects
    • Caron, F., Duflos, E., Pomorski, D., and Vanheeghe, P. 2006. GPS/IMU Data Fusion Using Multisensor Kalman Filtering: Introduction of Contextual Aspects. Information Fusion, 7, 2, 221-230.
    • (2006) Information Fusion , vol.7 , Issue.2 , pp. 221-230
    • Caron, F.1    Duflos, E.2    Pomorski, D.3    Vanheeghe, P.4
  • 4
    • 0029735913 scopus 로고    scopus 로고
    • Inertial Head-Tracker Sensor Fusion by a Complementary Separate-Bias Kalman Filter
    • Santa Clara, California, IEEE Computer Society
    • Foxlin, E. 1996. Inertial Head-Tracker Sensor Fusion by a Complementary Separate-Bias Kalman Filter. In Proceedings of the IEEE Virtual Reality Annual International Symposium, (Santa Clara, California, 1996). IEEE Computer Society, 185-194.
    • (1996) Proceedings of the IEEE Virtual Reality Annual International Symposium , pp. 185-194
    • Foxlin, E.1
  • 7
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    • An Immersion-type 3D Dynamic Simulation Environment for Developing Human Interactive Robot Systems
    • Onishi, M., Odashima, T., Luo, Z., and Hosoe, S. 2006. An Immersion-type 3D Dynamic Simulation Environment for Developing Human Interactive Robot Systems. Systems and Computers in Japan, 37, 10, 47-57.
    • (2006) Systems and Computers in Japan , vol.37 , Issue.10 , pp. 47-57
    • Onishi, M.1    Odashima, T.2    Luo, Z.3    Hosoe, S.4
  • 8
    • 1342305126 scopus 로고    scopus 로고
    • A Flexible Software Architecture for Hybrid Tracking
    • Ribo, M., Brandner, M., and Pinz, A. 2004. A Flexible Software Architecture for Hybrid Tracking. Journal of Robotic Systems, 21, 2, 53-62.
    • (2004) Journal of Robotic Systems , vol.21 , Issue.2 , pp. 53-62
    • Ribo, M.1    Brandner, M.2    Pinz, A.3
  • 10
    • 34247345871 scopus 로고    scopus 로고
    • Ambulatory Position and Orientation Tracking Fusing Magnetic and Inertial Sensing
    • Roetenberg, D., Slycke, P.J., and Veltink, P.H. 2007. Ambulatory Position and Orientation Tracking Fusing Magnetic and Inertial Sensing. IEEE Transactions on Biomedical Engineering, 54, 5, 883-890.
    • (2007) IEEE Transactions on Biomedical Engineering , vol.54 , Issue.5 , pp. 883-890
    • Roetenberg, D.1    Slycke, P.J.2    Veltink, P.H.3
  • 12
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    • An Introduction to the Kalman Filter
    • 95-041. University of North Carolina, Chapel Hill, North Carolina
    • Welch, G., and Bishop, G. 2006. An Introduction to the Kalman Filter. Technical Report TR 95-041. University of North Carolina, Chapel Hill, North Carolina.
    • (2006) Technical Report TR
    • Welch, G.1    Bishop, G.2
  • 13
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    • Motion Tracking: No Silver Bullet, but a respectable arsenal
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    • Welch, G.1    Foxlin, E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.