@inproceedings{2f1ef163eca44774a790f91012fbfa2e,
title = "A novel approach to the eye movement analysis using a high speed camera",
abstract = "In this paper a new method of eye blink detection and analysis is proposed. The described technique is based on a combination of spatial and temporal derivatives calculated in video sequences acquired with a high speed camera. The pixels of each frame are divided into two groups according to the direction and magnitude of the hybrid gradient vectors and the distance between their centers of gravity is used for the determination of the eye movement characteristics. Preliminary experiments revealed a high detection rate of eye blinks, which is not dependent on the change of head position. The proposed technique can also be used for the analysis of eye movements and can be utilized in systems which are monitoring human fatigue, drowsiness and emotional states.",
keywords = "3D gradient descriptor, Eye blink detection, Eye detection",
author = "Krystian Radlak and Bogdan Smolka",
year = "2012",
doi = "10.1109/ICTEA.2012.6462854",
language = "English",
isbn = "9781467324892",
series = "2012 2nd International Conference on Advances in Computational Tools for Engineering Applications, ACTEA 2012",
pages = "145--150",
booktitle = "2012 2nd International Conference on Advances in Computational Tools for Engineering Applications, ACTEA 2012",
note = "2012 2nd International Conference on Advances in Computational Tools for Engineering Applications, ACTEA 2012 ; Conference date: 12-12-2012 Through 15-12-2012",
}