A pilot study on monitoring airline pilot stress levels

Matthew B. Rhudy, Scott K. Dolan, Alan R. Wagner

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

This paper investigates the potential of monitoring the physiological stress levels of human pilots in real-time. This investigation considers the use of wearable technology to measure electrodermal activity, skin temperature, and heart rate to assess the current stress level of an individual. Stimuli in the form of static images were selected from the International Affective Picture System (IAPS) in order to invoke stressful or calming feelings. Metrics were selected from the measured data to analyze differences between the stress and non-stress groups. Additionally, machine learning techniques were explored to classify the stress or non-stress state based on the physiological data. The preliminary results of this study indicated significant limitations in the use of this data for accurately detecting a high-stress state. Future work will consider a refined data collection protocol and increased sample size in order to generalize the result.

Original languageEnglish (US)
Title of host publicationAIAA Scitech 2020 Forum
PublisherAmerican Institute of Aeronautics and Astronautics Inc, AIAA
ISBN (Print)9781624105951
DOIs
StatePublished - 2020
EventAIAA Scitech Forum, 2020 - Orlando, United States
Duration: Jan 6 2020Jan 10 2020

Publication series

NameAIAA Scitech 2020 Forum
Volume1 PartF

Conference

ConferenceAIAA Scitech Forum, 2020
CountryUnited States
CityOrlando
Period1/6/201/10/20

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering

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