Adaptive Neuro-Fuzzy Fusion of Multi-Sensor Data for Monitoring a Pilot’s Workload Condition

Adaptive Neuro-Fuzzy Fusion of Multi-Sensor Data for Monitoring a Pilot’s Workload Condition

To realize an early warning of unbalanced workload in the aircraft cockpit, it is required to monitor the pilot’s real-time workload condition. For the purpose of building the mapping relationship from physiological and flight data to workload, a multi-source data fusion model is proposed...

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Bibliographic Details
Main Authors: Xia Zhang, Youchao Sun, Zhifan Qiu, Junping Bao, Yanjun Zhang
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Sensors
Subjects:
aircraft pilot
workload
multi-source data fusion
fuzzy neural network
principal component analysis
parameter learning
Online Access:https://www.mdpi.com/1424-8220/19/16/3629

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