Book ChapterDOI
Electroencephalogram based Biomarkers for Tracking the Cognitive Workload of Operators in Process Industries
Mohd Umair Iqbal,Babji Srinivasan,Rajagopalan Srinivasan +2 more
- Vol. 46, pp 1393-1398
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TLDR
This work proposes a methodology to measure cognitive load of a control room operator in terms of a biomarker, specifically theta/alpha ratio, obtained from a single electrode EEG signal.Abstract:
Human errors are a root cause of majority of accidents occurring in the process industry. These errors are often a result of excessive workload on operators, especially during abnormal situations. Understanding and measurement of cognitive workload (overload), experienced by human operators while performing key safety critical tasks, is thus important to the understanding of human errors. Subjective measurements of workload are often not reliable and there is a need for physiological based parameters of workload. In this work, we propose a methodology to measure cognitive load of a control room operator in terms of a biomarker, specifically theta/alpha ratio, obtained from a single electrode EEG signal. Real-time detection of the biomarker can enable minimize errors and improve safety.read more
Citations
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Journal ArticleDOI
Review of Virtual Reality (VR) Applications To Enhance Chemical Safety: From Students to Plant Operators
TL;DR: In this paper , the authors review the literature on the applications of VR to chemical safety in laboratories and industries and stress the need to incorporate physiological sensors into the VR environment, and discuss the best practices for VR-based training.
Journal ArticleDOI
HMM-based models of control room operator's cognition during process abnormalities. 1. Formalism and model identification
TL;DR: In this article , the authors proposed a Hidden Markov Model (HMM) based formalism to characterize control room operators' mental models while handling abnormal situations, i.e., a correct understanding of the process and its causal linkages.
Book ChapterDOI
Human factors in digitalized process operations
TL;DR: In this paper , the role of human factors in understanding the interaction between humans and other elements of the work system is discussed and a detailed discussion on how human failures can be quantified by using human reliability assessment techniques.
References
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An Analysis of Mental Workload in Pilots During Flight Using Multiple Psychophysiological Measures
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Journal ArticleDOI
EEG delta activity: an indicator of attention to internal processing during performance of mental tasks
Thalía Harmony,Thalía Fernández,Juan Silva,Jorge Bernal,Lourdes Díaz-Comas,Alfonso Reyes,Erzsébet Marosi,Mario H. Rodriguez,Miguel Rodríguez +8 more
TL;DR: A narrow band analysis is made to detect those EEG frequencies that change selectively during the performance of a mental task that requires attention to internal processing.
Book ChapterDOI
Technical Aspects of Brain Rhythms and Speech Parameters
TL;DR: This chapter focuses on signal processing algorithms related to both types of signals, which are categorized in three groups: preprocessing, feature extraction, and feature classification.