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5th International ICST Conference on Body Area Networks

Research Article

From Posture to Motion: The Challenge for Real Time Wireless Inertial Motion Capture.

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1145/2221924.2221950,
        author={Alexander Young},
        title={From Posture to Motion: The Challenge for Real Time Wireless Inertial Motion Capture.},
        proceedings={5th International ICST Conference on Body Area Networks},
        publisher={ACM},
        proceedings_a={BODYNETS},
        year={2012},
        month={6},
        keywords={Wireless body sensor network inertial motion capture real-time Kalman filtering},
        doi={10.1145/2221924.2221950}
    }
    
  • Alexander Young
    Year: 2012
    From Posture to Motion: The Challenge for Real Time Wireless Inertial Motion Capture.
    BODYNETS
    ACM
    DOI: 10.1145/2221924.2221950
Alexander Young1,*
  • 1: University of Edinburgh
*Contact email: ayoung9@inf.ed.ac.uk

Abstract

Networks of Wireless Inertial Measurement Units (WIMUs) allow for the real time capture of orientation data from multiple devices. Combining data from WIMUs with a rigid body model allows estimation of subject posture. However, posture information is not sufficient for full-body motion capture, the position of the subject in space must also be tracked. In this paper we examine the problem of relative position tracking; provide a demonstration of a novel location estimation algorithm, based on probabilistic ground contact detection; and discuss the use of aiding technologies.

Keywords
Wireless body sensor network inertial motion capture real-time Kalman filtering
Published
2012-06-01
Publisher
ACM
http://dx.doi.org/10.1145/2221924.2221950
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