Robust methods for hand gesture spotting and recognition using Hidden Markov Models and Conditional Random Fields

@article{Elmezain2010RobustMF,
  title={Robust methods for hand gesture spotting and recognition using Hidden Markov Models and Conditional Random Fields},
  author={Mahmoud Elmezain and Ayoub Al-Hamadi and Samy Sadek and Bernd Michaelis},
  journal={The 10th IEEE International Symposium on Signal Processing and Information Technology},
  year={2010},
  pages={131-136}
}
This paper proposes an automatic method that handles hand gesture spotting and recognition simultaneously. To spot meaningful gestures of numbers (0–9) accurately, a stochastic method for designing a non-gesture model with Hidden Markov Models (HMMs) versus Conditional Random Fields (CRFs) is proposed without training data. The non-gesture model provides a… CONTINUE READING