Toward the Unaided Estimation of Human Walking Speed Based on Sparse Modeling

@article{Brzostowski2018TowardTU,
  title={Toward the Unaided Estimation of Human Walking Speed Based on Sparse Modeling},
  author={Krzysztof Brzostowski},
  journal={IEEE Transactions on Instrumentation and Measurement},
  year={2018},
  volume={67},
  pages={1389-1398}
}
The ability to track people’s movement (e.g., the human walking) is an important topic of interest in numerous research areas. State-of-the-art systems based on, e.g., dead reckoning, usually do not need any additional infrastructure. The disadvantage of the method is the poor accuracy because of measurement noises. The typical approach to noise cancellation is zero-velocity update (ZUPT). The method takes advantages of the cyclical nature of human walking. Thus some limitations of the ZUPT… CONTINUE READING

References

Publications referenced by this paper.
SHOWING 1-10 OF 53 REFERENCES

Estimation of IMU and MARG orientation using a gradient descent algorithm

  • 2011 IEEE International Conference on Rehabilitation Robotics
  • 2011
VIEW 6 EXCERPTS
HIGHLY INFLUENTIAL

Strap-down Pedestrian Dead-Reckoning system

  • 2011 International Conference on Indoor Positioning and Indoor Navigation
  • 2011
VIEW 14 EXCERPTS
HIGHLY INFLUENTIAL

Modeling inertial sensors errors using Allan variance

H. Hou
  • Library Archives Canada, Ottawa, ON, Canada, Tech. Rep. 20201, 2005.
  • 2020
VIEW 1 EXCERPT

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