• International Journal of Technology (IJTech)
  • Vol 6, No 6 (2015)

Fatigue Measurement in Car Driving Activity using Physiological, Cognitive, and Subjective Approaches

Fatigue Measurement in Car Driving Activity using Physiological, Cognitive, and Subjective Approaches

Title: Fatigue Measurement in Car Driving Activity using Physiological, Cognitive, and Subjective Approaches
Maya Arlini Puspasari, Erlinda Muslim, Boy Nurtjahyo Moch, Andreas Aristides

Corresponding email:


Published at : 30 Dec 2015
Volume : IJtech Vol 6, No 6 (2015)
DOI : https://doi.org/10.14716/ijtech.v6i6.1446

Cite this article as:

Puspasari, M.A., Muslim, E., Moch, B.N., Aristides, A., 2015. Fatigue Measurement in Car Driving Activity using Physiological, Cognitive, and Subjective Approaches. International Journal of Technology. Volume 6(6), pp. 971-975



761
Downloads
Maya Arlini Puspasari Department of Industrial Engineering, Faculty of Engineering, Universitas Indonesia, Kampus Baru UI Depok, Depok 16424, Indonesia
Erlinda Muslim Department of Industrial Engineering, Faculty of Engineering, Universitas Indonesia, Kampus Baru UI Depok, Depok 16424, Indonesia
Boy Nurtjahyo Moch Department of Industrial Engineering, Faculty of Engineering, Universitas Indonesia, Kampus Baru UI Depok, Depok 16424, Indonesia
Andreas Aristides Department of Industrial Engineering, Faculty of Engineering, Universitas Indonesia, Kampus Baru UI Depok, Depok 16424, Indonesia
Email to Corresponding Author

Abstract
Fatigue Measurement in Car Driving Activity using Physiological, Cognitive, and Subjective Approaches

Ergonomics, Fatigue measurement, Karolinska Sleepiness Scale, Psychomotor vigilance test

References

Baulk, S.D., Biggs, S.N., Reid, K.J., van den Heuvel, C.J., Dawson, D., 2008. Chasing the Silver Bullet: Measuring Driver Fatigue using Simple and Complex Tasks. Accident Analysis and Prevention, Volume 40(1), pp. 396–402

Dawson, D., Searle, A.K., Paterson, J.L., 2014. Look Before You (S)leep: Evaluating the use of Fatigue Detection Technologies within a Fatigue Risk Management System for the Road Transport Industry. Sleep Medicine Review, Volume 18, pp. 141–152

Dinges, D.F., Powell, J.W., 1985. Microcomputer Analyses of Performance on a Portable, Simple Visual RT Task during Sustained Operations. Behavior Research Methods, Instruments, & Computers, Volume 17, pp. 652–655

Egelund, N., 1982. Spectral Analysis of Heart Rate Variability as an Indicator of Driver Fatigue. Ergonomics, Volume 25(7), pp. 663–672

Jagannath, M., Balasubramanian, V., 2014. Assessment of Early onset of Driver Fatigue using Multimodal Fatigue Measures in a Static Simulator. Applied Ergonomic, Volume 45(4), pp. 1140–1147

Kaida, K., Takahashi, M., Akerstedt, T., Nakata, A., Otsuka, Y., Haratani, T., Fukasawa, K., 2006. Validation of the Karolinska Sleepiness Scale against Performance and EEG Variables. Clin Neurophysiol, Volume 117(7), pp. 1574–1581

Philip, P., Sagaspe, P., Moore, N., Taillard, J., Charles, A., Guilleminaut, C., Bioulac, B., 2005. Fatigue, Sleep Restriction and Driving Performance. Accident Analysis and Prevention, Volume 37, pp. 473–478

Smolensky, M.H., Di Milia, L., Ohayon, M.M., Philip, P., 2011. Sleep Disorders, Medical Conditions, and Road Accident Risk. Accid Anal Prev, Volume 43(2), pp. 533–548

Verwey, W.B., Zaidel, D.M., 2000. Predicting Drowsiness Accidents from Personal Attributes, Eye Blinks and ongoing Driving Behaviour. Personality and Individual Differences, Volume 28, pp. 123–142

Virginia Tech Transportation Institute, 2013. Day or Night, Driving while Tired a Leading Cause of Accidents, Available at: http://www.vtnews.vt.edu/articles/2013/04/041513-vtti-fatigue.html