Wearable Technology Adaptation to Aviation Cabin Crew’s Fatigue Assessments

Aviation industry is one of the safest transport systems available for global travel and transportation. With the increase in commercial air travel, airlines require extra cabin crews. Aviation industry’s cabin crew members are working overtime, in shifts, long working hours and differences of time-zones during long distance flights. The shift system causes fatigue for cabin crews. One of the most important factors in the reduction of mental and physical performance ability of the cabin crew is related to individuals sleep and wakefulness. Operational data is normally collected to estimate the safety risks associated with fitness and performance. The sleep and wakefulness assessment data collection methods and metrics vary among airlines. It is difficult to collect data in shift work due to the low flexibility in terms of experimental control and measurement strategies. Daily sleep data collection uses subjective questionnaire surveys and the use of available assistive technology such as wearables are not heard of. This research investigates the reliability between subjective and objective measurements employed during sleep and fatigue data collection and measurements. It further examines whether those measurements can be improved by the use of wearable devices to measure sleep and a wakefulness to support a cabin crew member’s fit to fly assessments. The research methodology consist of the exploration of related works, evaluation of 3 commercial airlines and their fatigue risk assessment methods and tools to identify the gap in the objective sleep and wakefulness measurement approaches in practice, and the evaluation an assessment of wearable technology adaptation to sleep and wakefulness measurements of aviation fatigue risk assessment models.

• Record URL:
  • https://doi.org/10.1007/978-3-030-68476-1
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9783030684754
• Supplemental Notes:
  • © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021.
• Corporate Authors:

  Springer International Publishing

  ,    
• Authors:
  • Çevik, İrem
  • Dahanayake, Ajantha
• Conference:
  • 20th International Conference on Reliability and Statistics in Transportation and Communication (RelStat2020)
  • Location: Riga , Latvia
  • Date: 2020-10-14 to 2020-10-17
• Publication Date: 2021-2

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 246-257
• Monograph Title: Reliability and Statistics in Transportation and Communication: Selected Papers from the 20th International Conference on Reliability and Statistics in Transportation and Communication, RelStat2020, 14-17 October 2020, Riga, Latvia
• Serial:
  • Lecture Notes in Networks and Systems
  • Volume: 195
  • Publisher: Springer Cham
  • ISSN: 2367-3370
  • Serial URL: https://www.springer.com/series/15179

Subject/Index Terms

• TRT Terms: Data collection; Flight crews; Physiological fatigue; Risk assessment; Sensors
• Subject Areas: Aviation; Data and Information Technology; Safety and Human Factors;

Filing Info

• Accession Number: 01880961
• Record Type: Publication
• ISBN: 9783030684754
• Files: TRIS
• Created Date: Apr 24 2023 4:19PM