The classification of EEG signal processing using different machine learning techniques for BCI application

• Main Authors: Rashid, Mamunur, Norizam, Sulaiman, Mahfuzah, Mustafa, Sabira, Khatun, Bari, Bifta Sama
• Format: Conference or Workshop Item
• Language: English; English
• Published: Springer, Singapore 2019
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://umpir.ump.edu.my/id/eprint/24498/1/29.%20The%20classification%20of%20EEG%20signal%20processing%20using%20different.pdf; http://umpir.ump.edu.my/id/eprint/24498/2/29.1%20The%20classification%20of%20EEG%20signal%20processing%20using%20different.pdf; http://umpir.ump.edu.my/id/eprint/24498/; https://doi.org/10.1007/978-981-13-7780-8_17

Brain-Computer Interface (BCI) or Human-Machine Interface is now becoming vital in biomedical engineering and technology field which applying EEG technologies to provide assistive device technology (AT) to humans. Hence, this paper presents the results of analyzing EEG signals from various human cog...