WAUC: A Multi-Modal Database for Mental Workload Assessment Under Physical Activity

• Published in: Frontiers in neuroscience Vol. 14; p. 549524
• Main Authors: Albuquerque, Isabela, Tiwari, Abhishek, Parent, Mark, Cassani, Raymundo, Gagnon, Jean-François, Lafond, Daniel, Tremblay, Sébastien, Falk, Tiago H.
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Research Foundation 01.12.2020; Frontiers Media S.A
• Subjects: ambulant subjects; Data collection; Datasets; Drowsiness; EEG; EKG; Exercise; Fatigue; Fitness equipment; Galvanic skin response; Human performance; mental workload; multi-modal database; Neuroscience; operator functional state; Physical activity; Physiology; Questionnaires; Ratings & rankings; Wearable computers; wearable sensors; workload assessment; Workloads; ambulant subjects; wearable sensors; workload assessment; multi-modal database; mental workload; operator functional state
• ISSN: 1662-453X; 1662-4548; 1662-453X
• DOI: 10.3389/fnins.2020.549524

Assessment of mental workload is crucial for applications that require sustained attention and where conditions such as mental fatigue and drowsiness must be avoided. Previous work that attempted to devise objective methods to model mental workload were mainly based on neurological or physiological...