Exploring Seafarers’ Workload Recognition Model with EEG, ECG and Task Scenarios’ Complexity: A Bridge Simulation Study

Exploring Seafarers’ Workload Recognition Model with EEG, ECG and Task Scenarios’ Complexity: A Bridge Simulation Study

Seafarers are prone to reduce behavioral reliability under high workloads, resulting in human errors and accidents. To explore the changes in seafarers’ workload and physiological activities under complex task conditions, a bridge simulator experiment was conducted to collect the EEG and ECG data of...

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Bibliographic Details
Main Authors: Yue Ma, Qing Liu, Liu Yang
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Journal of Marine Science and Engineering
Subjects:
seafarer
workload
EEG
ECG
machine learning
bridge simulation
Online Access:https://www.mdpi.com/2077-1312/10/10/1438

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