Locomotion classification using EMG signal

  • Pati S
  • Joshi D
  • Mishra A
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This work gives a comparative study on the use of Linear Discriminant Analysis (LDA), Artificial Neural Network (ANN) and Naive-Bayes Classifier (NBC) for recognizing various locomotion modes using parameters derived from the transient EMG signals taken from healthy subjects and thus provide a better control mechanism for lower limb prosthesis. These classifiers have been taken into consideration owing to their extensive use in various real-time applications.

Author-supplied keywords

  • EMG-based classification
  • LDA
  • PCA
  • locomotion classification

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  • S. Pati

  • D. Joshi

  • A. Mishra

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