Journal of Aeronautics & Aerospace Engineering
Open Access
ISSN: 2168-9792
ISSN: 2168-9792
Department of Mechatronics, Hebei University of Technology Hongqiao, Tianjin, China
Research Article
Assessing Cognitive Workload in Air Traffic Management using Cardio-Respiratory Sensor: A Performance Evaluation
Author(s): Chandan Sheikder*
Developing Air Traffic Management (ATM) and avionics human-machine framework ideas need real-time surveillance of the human operator to enable unique job assessment and system adaptability characteristics. To implement these advanced notions, a set of sensors capable of consistently and correctly capturing neurophysiological data is required. The scientific verification and performance evaluation of a cardio-respiratory sensor with ATM and avionics applications are presented in this research. The processed physiological measures from the specified commercial device are validated against clinical-grade equipment. Unlike previous studies that just looked at physical effort, this characterization looked at cognitive workload as well, which provides some extra hurdles to cardiorespiratory monitoring. The paper also discusses how to quantify ambiguity in the cognitive and somatic estimatio.. View More»
DOI:
10.35248/2168-9792.23.12.316