Analysis of EEG features for brain computer interface application

• Main Authors: Rashid, Mamunur, Norizam, Sulaiman, Mahfuzah, Mustafa, M. S., Jadin, M. S., Najib, Sabira, Khatun, Bari, Bifta Sama
• Format: Conference or Workshop Item
• Language: English; English
• Published: Universiti Malaysia Pahang 2019
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://umpir.ump.edu.my/id/eprint/26561/1/9.%20Analysis%20of%20EEG%20features%20for%20brain%20computer.pdf; http://umpir.ump.edu.my/id/eprint/26561/2/9.1%20Analysis%20of%20EEG%20features%20for%20brain%20computer.pdf; http://umpir.ump.edu.my/id/eprint/26561/

Brain-Computer Interface (BCI) or Human-Machine Interface (HMI) is now becoming vital engineering and technology field which applies electroencephalography (EEG) signal to provide Assistive Technology (AT) to humans. This paper presents the analysis of EEG signals from various human cognitive or men...