Multimodal integration for data-driven classification of mental fatigue during construction equipment operations: Incorporating electroencephalography, electrodermal activity, and video signals

Mehmood, Imran; Li, Heng; Umer, Waleed; Arsalan, Aamir; Anwer, Shahnawaz; Mirza, Mohammed Aquil; Ma, Jie; Antwi‐Afari, Maxwell Fordjour

doi:10.1016/j.dibe.2023.100198

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Experimental Design Materials and Methods1

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Cited by 7 publications

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“…Empatica E4 is a wearable health technology device that can measure many biological parameters. It has been preferred in studies on mental fatigue because it provides multimodal sensor data fusion [14] . It allows the harmful effects of mental fatigue on the human body to be monitored with signals obtained from heart and skin responses [15] .…”

Section: Experimental Design Materials and Methodsmentioning

confidence: 99%