Recognizing EEG signals for brain-computer interface based on machine learning

• Main Author: Yin, May Lin
• Other Authors: Jiang Xudong
• Format: Final Year Project
• Language: English
• Published: 2019
• Subjects: DRNTU::Engineering::Electrical and electronic engineering
• Online Access: http://hdl.handle.net/10356/78286
• Institution: Nanyang Technological University

A brain-computer interface (BCI) basically gives a second chance to people with motor disabilities to be able to communicate again by translating the brain activities (EEGs) into machine-learning languages which in turn controls the devices. However, EEGs are non-stationery rhythms with low amplitud...