EEG-based mental workload recognition using deep learning techniques

• Main Author: Zeng, Chenxuan
• Other Authors: Wang Lipo
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2020
• Subjects: Engineering::Electrical and electronic engineering
• Online Access: https://hdl.handle.net/10356/140005
• Institution: Nanyang Technological University

In most cases, mental workload (MWL) refers to the cost of cognitive resources in a certain task. [1]. A high MWL means the subject uses most of cognitive resources on the given task. Understanding the MWL level induced is important for optimizing human resources and reducing accidents. But in most...