Feature-based human motion parameter estimation with radar

@article{Dorp2008FeaturebasedHM,
  title={Feature-based human motion parameter estimation with radar},
  author={P. V. Dorp and F. Groen},
  journal={Iet Radar Sonar and Navigation},
  year={2008},
  volume={2},
  pages={135-145}
}
Radar can be an extremely useful sensing technique to observe persons. It perceives persons behind walls or at great distances and in situations where persons have no or poor visibility. Human motion modulates the radar signal which can be observed in the spectrogram of the received signal. Extraction of these movements enables the animation of a person in virtual reality. The authors focus on a fast feature-based approach to estimate human motion features for real-time applications. The human… Expand
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References

SHOWING 1-10 OF 13 REFERENCES
Human walking estimation with radar
Radar can be used to observe humans that are obscured by objects such as walls. These humans cannot be visually observed. The radar measurements are used to animate an obscured human in virtualExpand
High-resolution Doppler model of the human gait
TLDR
Comparison of the two sets of data has revealed several identifiable biomechanical features in the radar gait signature due to leg and body motion, which may be useful in security and biometric applications. Expand
Automated person recognition by walking and running via model-based approaches
TLDR
Results show that both gaits are potential biometrics, with running being more potent than walking, and a phase-weighted Fourier description gait signature by automated non-invasive means is derived. Expand
A global human walking model with real-time kinematic personification
TLDR
This paper presents a human walking model built from experimental data based on a wide range of normalized velocities that allows a personification of the walking action in an interactive real-time context in most cases. Expand
Theoretical radar-Doppler models for pivoting mechanical and biological objects-of-interest
TLDR
A set of approximate theoretical equations for the Doppler response of monostatic radar signals due to slowly pivoting objects are derived and several example calculations are presented based on the resulting theoretical formulas. Expand
Micro-Doppler effect in radar: phenomenon, model, and simulation study
When, in addition to the constant Doppler frequency shift induced by the bulk motion of a radar target, the target or any structure on the target undergoes micro-motion dynamics, such as mechanicalExpand
Recognizing transient low-frequency whale sounds by spectrogram correlation.
  • D. Mellinger, C. Clark
  • Computer Science, Medicine
  • The Journal of the Acoustical Society of America
  • 2000
TLDR
The method described here, spectrogram correlation, is well-suited to recognition of animal sounds consisting of tones and frequency sweeps and could be especially useful for detecting a call type when relatively few instances of the call type are known. Expand
Versatile walk engine
TLDR
This work proposes an efficient walk engine for the reactive animation of biped characters of any size and proportions and provides an efficient way to generate multitude of varied walking animations, as needed, for example, by crowd simulations. Expand
Design and Analysis of Modern Tracking Systems
The Basics of Target Tracking. Sensor and Source Characteristics. Kinematic State Estimation: Filtering and Prediction. Modelling and Tracking Dynamic Targets. Passive Sensor Tracking. Basic MethodsExpand
Methods and techniques of radar recognition
General information on radar recognition methods of recognition with the aid of narrowband signals methods of recognition using multifrequency signals methods of recognition using broadband signalsExpand
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