Single channel Electroencephalogram (EEG) brain computer interface (BCI) feature extraction and quantization method for Support Vector Machine classification

• Main Authors: Izzuddin, Tarmizi Ahmad, Mat Safri, Norlaili, Zohedi, Fauzal Naim, Othman, Mohamad Afzan, Hazim, Muhammad Shaufil Adha Shawkany
• Format: Article
• Language: English
• Published: Science Publishing Corporation Inc. 2018
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/86648/1/TarmiziAhmad2018_SingleChannelElectroencephalogramEEGBrainComputer.pdf; http://eprints.utm.my/id/eprint/86648/; http://dx.doi.org/10.14419/ijet.v7i4.12843
• Institution: Universiti Teknologi Malaysia

Over the recent years, there has been a huge interest towards Electroencephalogram (EEG) based brain computer interface (BCI) system. BCI system enables the extraction of meaningful information directly from the human brain via suitable signal processing and machine learning method and thus, many re...