Feature Weight Driven Interactive Mutual Information Modeling for Heterogeneous Bio-Signal Fusion to Estimate Mental Workload

Feature Weight Driven Interactive Mutual Information Modeling for Heterogeneous Bio-Signal Fusion to Estimate Mental Workload

Many people suffer from high mental workload which may threaten human health and cause serious accidents. Mental workload estimation is especially important for particular people such as pilots, soldiers, crew and surgeons to guarantee the safety and security. Different physiological signals have be...

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Bibliographic Details
Main Authors: Pengbo Zhang, Xue Wang, Junfeng Chen, Wei You
Format: Article
Language:English
Published: MDPI AG 2017-10-01
Series:Sensors
Subjects:
mental workload
signal fusion
n-back task
mutual information
heterogeneous bio-signals
Online Access:https://www.mdpi.com/1424-8220/17/10/2315

Internet

https://www.mdpi.com/1424-8220/17/10/2315

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