Hybrid independent component analysis and twin support vector machine learning scheme for subtle gesture recognition.

@article{Naik2010HybridIC,
  title={Hybrid independent component analysis and twin support vector machine learning scheme for subtle gesture recognition.},
  author={Ganesh R. Naik and Dinesh Kant Kumar and Jayadeva},
  journal={Biomedizinische Technik. Biomedical engineering},
  year={2010},
  volume={55 5},
  pages={301-7}
}
Myoelectric signal classification is one of the most difficult pattern recognition problems because large variations in surface electromyogram features usually exist. In the literature, attempts have been made to apply various pattern recognition methods to classify surface electromyography into components corresponding to the activities of different muscles, but this has not been very successful, as some muscles are bigger and more active than others. This results in dataset discrepancy during… CONTINUE READING

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