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Human body posture tracking using flexible, wireless and low-power sensor nodes

Benoît Huyghe (UGent)
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Abstract
Human posture tracking is performed using several sensor nodes attached to a subject’s body. A Kalman filter estimates the orientation of each of the nodes from the outputs of the sensors. This orientation is then mapped to the appropriate bodypart allowing full body posture reconstruction. The design of flexible, wireless and low-power sensor nodes for orientation tracking purposes is presented. Hardware components are chosen based on size and power consumption and software is written to implement a TDMA-like protocol allowing 10 nodes to send 100 samples per second to a base station receiver.
Keywords
Wireless, Orientation Tracking, Sensor Nodes, Kalman Filter, Low-Power

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Chicago
Huyghe, Benoît. 2009. “Human Body Posture Tracking Using Flexible, Wireless and Low-power Sensor Nodes.” In UGent-FirW Doctoraatssymposium, 10e. Gent: Universiteit Gent. Faculteit Ingenieurswetenschappen.
APA
Huyghe, B. (2009). Human body posture tracking using flexible, wireless and low-power sensor nodes. UGent-FirW Doctoraatssymposium, 10e. Presented at the 10e FirW PhD Symposium, Gent: Universiteit Gent. Faculteit Ingenieurswetenschappen.
Vancouver
1.
Huyghe B. Human body posture tracking using flexible, wireless and low-power sensor nodes. UGent-FirW Doctoraatssymposium, 10e. Gent: Universiteit Gent. Faculteit Ingenieurswetenschappen; 2009.
MLA
Huyghe, Benoît. “Human Body Posture Tracking Using Flexible, Wireless and Low-power Sensor Nodes.” UGent-FirW Doctoraatssymposium, 10e. Gent: Universiteit Gent. Faculteit Ingenieurswetenschappen, 2009. Print.
@inproceedings{1044586,
  abstract     = {Human posture tracking is performed using several sensor nodes attached to a subject{\textquoteright}s body. A Kalman filter estimates the orientation of each of the nodes from the outputs of the sensors. This orientation is then mapped to the appropriate bodypart allowing full body posture reconstruction.
The design of flexible, wireless and low-power sensor nodes for orientation tracking purposes is presented. Hardware components are chosen based on size and power consumption and software is written to implement a TDMA-like protocol allowing 10 nodes to send 100 samples per second to a base station receiver.},
  author       = {Huyghe, Beno{\^i}t},
  booktitle    = {UGent-FirW Doctoraatssymposium, 10e},
  language     = {eng},
  location     = {Gent},
  pages        = {2},
  publisher    = {Universiteit Gent. Faculteit Ingenieurswetenschappen},
  title        = {Human body posture tracking using flexible, wireless and low-power sensor nodes},
  year         = {2009},
}