Abstract
On the basis of work analysis for airline pilot, joystick operating and instruments monitoring are extracted as the two core tasks, to build a simulation of the aircraft driving induced flight fatigue model. The model including the computerized simulation of dual task operation module, system management module and eye video monitoring module. In the validation study, 15 volunteers were recruited, their scores on the Stanford sleepiness scale (SSS) and their percentage of eyelid closure (PERCLOSE) in the task was recorded for 5 min were collected before and after the fatigue induced task for 3 h. The validity of the model was verified by comparing the subjective and objective fatigue indexes before and after the fatigue induced task. the score of SSS was increased, and the fatigue closure time of eyelid closure was significantly prolonged, all reaching the statistically significant level (P < 0.01). The simulation of aircraft dual task model can effectively induce flight fatigue and provide a tool for flight fatigue research.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Ling, L., Zhang, Y.: Current status and future direction of mental fatigue research in civil aviation pilots. Space Med. Med. Eng. 28(01), 74–78 (2015)
Reis, C., Mestre, C., Canho, H.: Prevalence of fatigue in a group of airline pilots. Aviation Space Environ. Med. 84(8), 828–833 (2013)
Jiang, W.D., Xia, C.M., Zhang, Y., et al.: Static fatigue analysis of upper trapezius muscle based on factal dimension of mechanomyography. Space Med. Med. Eng. 32(03), 259–264 (2019)
Zhao, S.F., Xu, G.H.: Study on fatigue driving based on driver model parameter identification. China Saf. Sci. J. 20(9), 38–44 (2010)
Liu, P., Jiang, C.H., Xiong, J., et al.: Detection of human eye status in the study of driving fatigue. In: Chinese Biomedical Engineering Academic Conference 2007, Shanxi, Xian (2007)
Jiang, W., Feng, T.Z., Pan, J.: Development and psychometric analysis of cognitive aptitude battery for Chinese AB-INITIO pilots in civil aviation. J. Prev. Med. Chin. PLA 32(2), 122–124 (2014)
Dinges, D.F., Grace, R.: PERCLOS: a valid psychophysiological measure of alertness as assessed by psychomotor vigilance. Federal Highway Administration Publication No. FHWA-MCRT-98-006 (1998)
Guo, B.Y., Fang, W.N.: Fatigue detection using eye tracking system. Space Med. Med. Eng. 17(4), 256–260 (2004)
David, F.D., Richard, G.: PERCLOS: a valid psychophysiological measure of alertness as assessed by psychomotor vigilance. Federal Highway Administration Publication No. FHWA-MCRT-98-006 (1998)
Liu, J., Liu, X., Wang, X.Y., et al.: Effects of prolonged driving on driving safety under real road condition. China Saf. Sci. J. 21(03), 9–15 (2011)
Pilcher, J.J., Band, D., Odle-Dusseau, H.N., et al.: Human performance under sustained operations and acute sleep deprivation conditions: toward a model of controlled attention. Aviat. Space Environ. Med. 78(1), B15–24 (2007)
Acknowledgement
This work is supported by the National Natural Science Foundation of China, No. u1333132 and Major science and technology projects of Civil Aviation Administration of China, No. mhrd20140101.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Ethics declarations
The study was approved by the Logistics Department for Civilian Ethics Committee of civil aviation medicine center of CAAC.
All subjects who participated in the experiment were provided with and signed an informed consent form.
All relevant ethical safeguards have been met with regard to subject protection.
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Jiang, W., Chen, Z., Xu, H., Liu, T., Li, L., Xu, X. (2023). Establishment and Verification of Flight Fatigue Model Induced by Simulated Aircraft Driving. In: Long, S., Dhillon, B.S. (eds) Man-Machine-Environment System Engineering. MMESE 2022. Lecture Notes in Electrical Engineering, vol 941. Springer, Singapore. https://doi.org/10.1007/978-981-19-4786-5_21
Download citation
DOI: https://doi.org/10.1007/978-981-19-4786-5_21
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-19-4785-8
Online ISBN: 978-981-19-4786-5
eBook Packages: EngineeringEngineering (R0)