Detecting Sequential Human Mental Workload Using U-Net with Continuity-Aware Loss Applied to Streamed Physiological Signals

Xie, Yongquan; Murphey, Yi Lu; Kochhar, Dev S.

doi:10.1109/indin41052.2019.8972150

2019 IEEE 17th International Conference on Industrial Informatics (INDIN) 2019

DOI: 10.1109/indin41052.2019.8972150

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Detecting Sequential Human Mental Workload Using U-Net with Continuity-Aware Loss Applied to Streamed Physiological Signals

Yongquan Xie

Yi Lu Murphey

Dev S. Kochhar

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Cited by 3 publications

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Detecting Sequential Human Mental Workload Using U-Net with Continuity-Aware Loss Applied to Streamed Physiological Signals

Cited by 3 publications

References 17 publications

A systematic review on the influence factors, measurement, and effect of driver workload

A systematic review on the influence factors, measurement, and effect of driver workload

A Real-time Assessment System for Cognitive Performances of Armored Vehicle Crews Based upon the Multi-source Information Fusion

Joint learning of video images and physiological signals for lane-changing behavior prediction

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