Classification of EEG-based Brain Waves for Motor Imagery using Support Vector Machine
作者： Munawar A Riyadi , Teguh Prakoso , Finade Oza Whaillan , Marcelinus David Wahono , Achmad Hidayatno
DOI: 10.1109/ICECOS47637.2019.8984565
关键词: Electroencephalography 、 Brain activity and meditation 、 Interface (computing) 、 Support vector machine 、 Computer science 、 Software 、 Pattern recognition 、 Communications system 、 Brain–computer interface 、 Motor imagery 、 Artificial intelligence
摘要: Brain-computer interface (BCI) is a hardware and software communication system that allows controlling computers or external devices to utilize brain activity. BCI users control other using waves. The process of identifying patterns activity depends on the classification algorithm. A portable classifiers need ability identify obtained from electroencephalogram (EEG) channels. In this research, reliable was built Support Vector Machine (SVM) algorithm are suitable for recognizing wave patterns. SVM implemented five 4-channel EEG when performing different motor movements. results show performance in distinguishing those based EEG’s gamma
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