Intelligent Machine Learning Based EEG Signal Classification Model
Mesfer Al Duhayyim1, Haya Mesfer Alshahrani2, Fahd N. Al-Wesabi3, Mohammed Abdullah Al-Hagery4, Anwer Mustafa Hilal5,*, Abu Sarwar Zaman5
CMC-Computers, Materials & Continua, Vol.71, No.1, pp. 1821-1835, 2022, DOI:10.32604/cmc.2022.021119
Abstract In recent years, Brain-Computer Interface (BCI) system gained much popularity since it aims at establishing the communication between human brain and computer. BCI systems are applied in several research areas such as neuro-rehabilitation, robots, exoeskeletons, etc. Electroencephalography (EEG) is a technique commonly applied in capturing brain signals. It is incorporated in BCI systems since it has attractive features such as non-invasive nature, high time-resolution output, mobility and cost-effective. EEG classification process is highly essential in decision making process and it incorporates different processes namely, feature extraction, feature selection, and classification. With this motivation, the current research paper presents an Intelligent… More >