Towards to a System for Predicting an Insufficient Wake State in Professional Drivers

  • Joaquim Gonçalves
  • Ablulay Abreu
  • Sandro Carvalho
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 746)

Abstract

Sleep is one of the major responsible for road accidents. Their early detection can prevent many of these types of accidents. The current sleep detection systems are based mainly on the evaluation of the behaviour of the driver, which is expressed by the steering wheel movement, facial expression or eyes movement monitored by a camera. However, these systems only detect a sleep situation when it already exists, what is proved to be insufficient. It is fundamental to anticipate this state more than to realize that the driver is in the state of drowsiness, alerting the driver while he is still awake for the necessity to stop and rest. Nowadays, the technology focused on the health and well-being has been making considerable progress. Mobile and wearable devices, among other equipment with multiple sensors, are being used more frequently in areas which are directly or indirectly related to health. The increased quality and accuracy of these devices improves their reliability and credibility, allowing them to be used in more sensitive contexts, particularly in the health area. The current wearable devices have a set of sensors that allow the evaluation of biometric parameters, as well as information about body movement that can help to predict sleep state. This technology can be used to prevent accidents.

Keywords

Sleep state detection Wearable and mobile devices Sensors Biometric parameters Classification algorithms Drivers wake state 

References

  1. 1.
    Hoque, E., Dickerson, R.F., Stankovic, J.A.: Monitoring body positions and movements during sleepusing WISPs. In: Wireless Health 2010, October 5–7, 2010, San Diego, USA (2010)Google Scholar
  2. 2.
    Hartley, L., Horberry, T., Mabbott, N., Krueger, G.: Review of fatigue detection and prediction technologies. In: National Road Transport Commission, September 2000Google Scholar
  3. 3.
    Thorslund, B., Lützhöft, B.: Sleepy watchkeepers? The experience of officers on Swedish cargo ships. Seaways (2007)Google Scholar
  4. 4.
    HealthyDrive: este retrovisor acorda quem tem sono ao volante - PÚBLICO. https://www.publico.pt/local/noticia/healthydrive-este-retrovisor-acorda-quem-tem-sono-ao-volante-1668112 (Consulted on 2017. MAI. 17)
  5. 5.
    Toyobo Develops ‘Wearable’ Conductive Film. Nikkey Technology – Tech & Industry Analysis from Japan/Asia. http://techon.nikkeibp.co.jp/english/NEWS_EN/20150818/432081/. (Consulted on 2017. MAI. 17)
  6. 6.
    Berri, R.A., Silva, A.G., Arthur, R., Girardi. E.: Detecçãoo Automática de Sonolência Em Condutores de Veículos Utilizando Imagens Amplas E de Baixa Resolução. Anais do Computer on the Beach 0(0): 21–30 (2013)Google Scholar
  7. 7.
    Ohns, M., Tucker, A., Chapman, R.: Monitoring the drowsiness of drivers: a new method based on the velocity of eyelid movements. In: International ITS Conference, San Francisco (2005)Google Scholar
  8. 8.
    Tobaldini, E., et al.: Heart rate variability in normal and pathological sleep. Front Physiol. 4, 294 (2013)CrossRefGoogle Scholar
  9. 9.
    Conte, E., et al.: Heart rate variability: on the importance to perform HRV analysis in subjects affected from muscular dystrophy. World J. Cardiovasc. Dis. 5, 141–149 (2015). Published Online June 2015 in SciResCrossRefGoogle Scholar
  10. 10.
    Simões, L., Silva, J., Gonçalves, J.: Mobile application for stress assessment. In: 12th Iberian Conference on Information Systems and Technologies (CISTI), Lisboa, 21–24 June 2017Google Scholar
  11. 11.
    Neycheva, T.D., Dobrev, D.P.: Photoplethysmografic Detectir for Peripherical Pulse Registration. Electronics 2005 21 – 23 September, Sozopol, Bulgaria (2005)Google Scholar
  12. 12.
    Allen, J.: Photoplethysmography and its applications in clinical physiological measurement. Physiol. Meas. 28, R1–R39 (2007)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Joaquim Gonçalves
    • 1
    • 2
  • Ablulay Abreu
    • 1
  • Sandro Carvalho
    • 1
  1. 1.Instituto Politécnico do Cávado e do AveBarcelosPortugal
  2. 2.LIACC-Universidade do PortoPortoPortugal

Personalised recommendations