EEG-based mental workload and stress recognition of crew members in maritime virtual simulator : a case study

• Main Authors: Liu, Yisi, Subramaniam, Salem Chandrasekaran Harihara, Sourina, Olga, Liew, Serene Hui Ping, Krishnan, Gopala, Konovessis, Dimitrios, Ang, Hock Eng
• Other Authors: School of Mechanical and Aerospace Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2021
• Subjects: Engineering::Maritime studies; Human Factors; Electroencephalography
• Online Access: https://hdl.handle.net/10356/145971
• Institution: Nanyang Technological University

Many studies have shown that the majority of maritime accidents/incidents are attributed to human errors as the initiating cause. Efforts have been made to study human factors that can result in a safer maritime transportation. Among all techniques, Electroencephalogram (EEG) has the advantages such...