A robust gesture recognition algorithm based on Sparse Representation, random projections and Compressed Sensing

@article{Boyali2012ARG,
  title={A robust gesture recognition algorithm based on Sparse Representation, random projections and Compressed Sensing},
  author={Ali Boyali and Manolya Kavakli},
  journal={2012 7th IEEE Conference on Industrial Electronics and Applications (ICIEA)},
  year={2012},
  pages={243-249}
}
Compressed Sensing (CS) and Sparse Representation (SR) influenced the ways of signals are processed half a decade. The elegant solution to sparse signal recovery problem has found ground in several research fields such as machine learning and pattern recognition. The use of sparse representation and the solution of equations using ℓ1 minimization were utilized for face recognition problem under varying illumination and occlusion. Afterwards the idea was applied in biometrics to classify iris… CONTINUE READING
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Gesture recognition as ubiquitous input for mobile phones

  • G. Niezen, G. Hancke
  • Proc. of International Workshop on Devices that…
  • 2008
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