Skip to main content

The Efficacy of Eye Blink Rate as an Indicator of Sleepiness: A Study of Simulated Train Driving

  • Conference paper
  • First Online:
Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018) (IEA 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 823))

Included in the following conference series:

  • 2534 Accesses

Abstract

Despite the steady decline in the number of train incidents in Indonesia, rail safety remains an important national issue. Sleepiness has been cited as a major contributing factor in previous rail accidents, and the ability to detect sleepiness while a machinist is performing his job is of importance. The present investigation aimed at determining if eye blink rate (EBR) could be used in determining the degree of sleepiness during train driving tasks. A group of 12 male subjects were asked to drive a train simulator for 4 h in the morning, with sleep durations of 2, 4, and 8 h were allotted the night before the experiment. The driving task was fairly monotonous, with one stop (train station) for every two hours. A second group was also asked to perform the same tasks, but the driving condition was more dynamic (train stopped every 20 min). A high definition camera was mounted in front of the subjects, and recorded the entire face of the subjects continuously throughout the experiment. Rates of eye blink were determined every 20 min, resulting in 12 data points throughout the experiment. Similarly, scores of Karolinska Sleepiness Scale (KSS) was used to assess perceived sleepiness. Results of this experiment demonstrated that frequency of eye blink tended to increase, but in somewhat inconsistent fashion. KSS scores, on the other hand, increased consistently throughout the experiment. It was concluded here that it was fairly difficult to assess sleepiness based merely on raw blink rate data.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Iridiastadi H, Ikatrinasari ZF (2012) Indonesian railway accidents: utilizing human factors analysis and classification system in determining potential contributing factors. Work 41:4246–4249

    Google Scholar 

  2. Schleicher R, Galley N, Briest S, dan Galley L (2008) Blinks and saccades as indicators of fatigue in sleepiness warnings: looking tired? Ergonomics 51:982–1010

    Article  Google Scholar 

  3. Abe T, Nonomura T, Komada Y, Asaoka S, Sasai T, Ueno A, dan Inoue Y (2011) Detecting deteriorated vigilance using percentage of eyelid closure time during behavioral maintenance of wakefulness tests. Int J Psychophysiol 82:269–274

    Article  Google Scholar 

  4. Di Stasi LL, Renner R, Catena A, Canas JJ, Velichkovsky BM, Pannasch S (2012) Towards a driver fatigue test based on the saccadic main sequence: a partial validation by subjective report data. Transp Res Part C 21:122–133

    Article  Google Scholar 

  5. Gao Q, Wang Y, Song F, Li Z, Dong X (2013) Mental workload measurement for emergency operating procedures in digital nuclear power plants. Ergonomics 46(7):1070–1085

    Article  Google Scholar 

  6. Dunn N, Williamson A (2012) Driving monotonous routes in a train simulator: the effect of task demand on driving performance and subjective experience. Ergonomics 55(9):997–1008

    Article  Google Scholar 

  7. Miley AA, Keclund G, Akerstedt T (2016) Comparing two versions of Karolinska Sleepiness Scale (KSS). Sleep Biol Rhythms 14:257–260

    Article  Google Scholar 

  8. Ul-Husna A, Roy A, Paul G, Raha MK (2014) Fatigue estimation through face monitoring and eye blinking. In: International conference on mechanical, industrial and energy engineering, 140214-1–140214-5, Bangladesh

    Google Scholar 

  9. Cruz AAV, Garcia DM, Pinto CT, Cechetti SP (2011) Spontaneous eyeblink activity. Occular Surf 9(1):29–41

    Article  Google Scholar 

  10. Fuletra JD, Bosamiya D (2013) A survey on driver’s drowsiness detection techniques. Int J Recent Innov Trends Comput Commun 1(11):816–819

    Google Scholar 

  11. Wang L, Peing Y (2014) The impact of continuous driving time and rest time on commercial drivers’ driving performance and recovery. J Saf Res 50:11–15

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hardianto Iridiastadi .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Iridiastadi, H. (2019). The Efficacy of Eye Blink Rate as an Indicator of Sleepiness: A Study of Simulated Train Driving. In: Bagnara, S., Tartaglia, R., Albolino, S., Alexander, T., Fujita, Y. (eds) Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018). IEA 2018. Advances in Intelligent Systems and Computing, vol 823. Springer, Cham. https://doi.org/10.1007/978-3-319-96074-6_27

Download citation

Publish with us

Policies and ethics