Real-Time Classification of EMG Myo Armband Data Using Support Vector Machine

Tepe C., Demir M. C.

IRBM, cilt.43, sa.4, ss.300-308, 2022 (SCI-Expanded, Scopus) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 43 Sayı: 4
  • Basım Tarihi: 2022
  • Doi Numarası: 10.1016/j.irbm.2022.06.001
  • Dergi Adı: IRBM
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, EMBASE
  • Sayfa Sayıları: ss.300-308
  • Anahtar Kelimeler: Hand gestures, Myo armband, EMG, Real-time classification, Support vector machine, SELECTION
  • Ondokuz Mayıs Üniversitesi Adresli: Evet

Özet

Objectives: This study investigates the performance of the Support Vector Machine (SVM) to classify nonreal-time and real-time EMG signals. The study also compares training performance using personalized and generalized data from all subjects. Thus, an idea about the data sets to be used in the training of the real-time classification model has been put forward. In addition, real-time classification results were obtained for ten days, and it was observed how training oneself would affect the classification results.