Real-Time Assessment of Mental Workload Using Psychophysiological Measures and Artificial Neural Networks

Volume: 45, Issue: 4, Pages: 635 - 644
Published: Dec 1, 2003
Abstract
The functional state of the human operator is critical to optimal system performance. Degraded states of operator functioning can lead to errors and overall suboptimal system performance. Accurate assessment of operator functional state is crucial to the successful implementation of an adaptive aiding system. One method of determining operators' functional state is by monitoring their physiology. In the present study, artificial neural networks...
Paper Details
Title
Real-Time Assessment of Mental Workload Using Psychophysiological Measures and Artificial Neural Networks
Published Date
Dec 1, 2003
Volume
45
Issue
4
Pages
635 - 644
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