Improving the saccade peak velocity measurement for detecting fatigue.

@article{Hirvonen2010ImprovingTS,
  title={Improving the saccade peak velocity measurement for detecting fatigue.},
  author={Kati Hirvonen and Sampsa Puttonen and Kristian Gould and Jussi Korpela and Vilhelm F Koefoed and Kiti M{\"u}ller},
  journal={Journal of neuroscience methods},
  year={2010},
  volume={187 2},
  pages={199-206}
}
The aim of the study was to compare saccadic peak velocity (SPV) values measured with video based Fitness Impairment Tester (FIT) and electro-oculography (EOG) during prolonged wakefulness. We tested different numbers of saccades and two saccade paradigms to improve the EOG measurements for detecting fatigue. The SPVs were measured from 11 fast patrol boat navigators with FIT and EOG every sixth hour until 54 h. Subjective sleepiness was assessed with the Karolinska Sleepiness Scale. EOG was… CONTINUE READING

From This Paper

Topics from this paper.

Citations

Publications citing this paper.
Showing 1-10 of 25 extracted citations

Effects of driving time on microsaccadic dynamics

Experimental Brain Research • 2014
View 4 Excerpts
Highly Influenced

Microsaccade and drift dynamics reflect mental fatigue.

The European journal of neuroscience • 2013
View 7 Excerpts
Highly Influenced

Driver fatigue detection based on saccadic eye movements

2017 10th International Conference on Electrical and Electronics Engineering (ELECO) • 2017
View 1 Excerpt

Similar Papers

Loading similar papers…