Facial neuromuscular signal classification by means of least square support vector machine for MuCI

@article{Hamedi2015FacialNS,
  title={Facial neuromuscular signal classification by means of least square support vector machine for MuCI},
  author={Mahyar Hamedi and Sheikh Hussain Shaikh Salleh and Alias Mohd Noor},
  journal={Appl. Soft Comput.},
  year={2015},
  volume={30},
  pages={83-93}
}
Recognizing ten facial gestures through analyzing facial neuromuscular signals.EMG analysis including filtering, segmentation, feature extraction (RMS).Classification of facial gestures by multi-class LS-SVM.Tuning the kernel parameters automatically and manually.Constructing different LS-SVM models.48 automatic and 8 manual LS-SVM models were constructed.The models were compared in terms of classification accuracy and complexity.The best performance was gained by the model tuned manually… CONTINUE READING
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