r-Principal Subspace for Driver Cognitive State Classification

• 主要な著者: Almahasneh, Hossam, Kamel , Nidal, Nicolas, Walter, Malik, Aamir Saeed
• フォーマット: Conference or Workshop Item
• 出版事項: 2015
• 主題: Q Science (General); T Technology (General)
• オンライン･アクセス: http://eprints.utp.edu.my/11829/1/r-principal%20subspace%20for%20driver%20cognitive%20state%20classification.pdf; http://eprints.utp.edu.my/11829/

Using EEG signals, a novel technique for driver cognitive state assessment is presented, analyzed and experimentally verified. The proposed technique depends on the singular value decomposition (SVD) in finding the distributed energy of the EEG data matrix A in the direction of the r-principal subsp...