Using finite state machine and a hybrid of EEG signal and EOG artifacts for an asynchronous wheelchair navigation

• Main Authors: Ramli, R., Arof, Hamzah, Ibrahim, Fatimah, Mokhtar, Norrima, Idris, Mohd Yamani Idna
• Format: Article
• Language: English
• Published: Elsevier 2015
• Subjects: T Technology (General); TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.um.edu.my/14041/1/Using_finite_state_machine_and_a_hybrid_of_EEG_signal_and_EOG.pdf; http://eprints.um.edu.my/14041/; http://www.sciencedirect.com/science/article/pii/S0957417414006903

In this study, an asynchronous wheelchair navigation system using a hybrid of EEG signal and EOG artifacts embedded in EEG signals is demonstrated. The EEG signals are recorded at three different locations on the scalp in the occipital and motor cortex regions. First, an EEG signal related to eyelid...