The Classification of Wink-Based EEG Signals: The identification on efficiency of transfer learning models by means of kNN classifier

• Main Authors: Jothi Letchumy, Mahendra Kumar, Mamunur, Rashid, Rabiu Muazu, Musa, Mohd Azraai, Mohd Razman, Norizam, Sulaiman, Rozita, Jailani, Anwar, P. P. Abdul Majeed
• Format: Conference or Workshop Item
• Language: English
• Published: Springer, Singapore 2021
• Subjects: TK Electrical engineering. Electronics Nuclear engineering; TS Manufactures
• Online Access: http://umpir.ump.edu.my/id/eprint/33498/1/The%20Classification%20of%20Wink-Based%20EEG%20Signals%20-%20The%20Identification.pdf; http://umpir.ump.edu.my/id/eprint/33498/; https://doi.org/10.1007/978-981-16-4803-8_22

One of the earliest methods to observe the brain dynamic is through Electroencephalogram (EEG) brain signal. It is widely known as a non-invasive, reliable, and affordable way of recording the brain activities. It has become the most wanted way of diagnosis and treatment for mental and brain neuroge...