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

  • Hardianto IridiastadiEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 823)


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.


Sleepiness Eye blink rates Train driving Simulator Karolinska Sleepiness Scale 


  1. 1.
    Iridiastadi H, Ikatrinasari ZF (2012) Indonesian railway accidents: utilizing human factors analysis and classification system in determining potential contributing factors. Work 41:4246–4249Google Scholar
  2. 2.
    Schleicher R, Galley N, Briest S, dan Galley L (2008) Blinks and saccades as indicators of fatigue in sleepiness warnings: looking tired? Ergonomics 51:982–1010CrossRefGoogle Scholar
  3. 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 82:269–274CrossRefGoogle Scholar
  4. 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 21:122–133CrossRefGoogle Scholar
  5. 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):1070–1085CrossRefGoogle Scholar
  6. 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):997–1008CrossRefGoogle Scholar
  7. 7.
    Miley AA, Keclund G, Akerstedt T (2016) Comparing two versions of Karolinska Sleepiness Scale (KSS). Sleep Biol Rhythms 14:257–260CrossRefGoogle Scholar
  8. 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, BangladeshGoogle Scholar
  9. 9.
    Cruz AAV, Garcia DM, Pinto CT, Cechetti SP (2011) Spontaneous eyeblink activity. Occular Surf 9(1):29–41CrossRefGoogle Scholar
  10. 10.
    Fuletra JD, Bosamiya D (2013) A survey on driver’s drowsiness detection techniques. Int J Recent Innov Trends Comput Commun 1(11):816–819Google Scholar
  11. 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 50:11–15CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Institut Teknologi BandungBandungIndonesia

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