Driver distraction is a relevant driving safety issue and an ongoing field of research. A particular distraction is cognitive distraction, which refers to when the driver is mentally engaged in a task unrelated to driving, e.g. talking to a passenger. Eye movements can be analyzed to study effects of cognitive distraction during driving, and are typically recorded using video-based eye tracker ...

Eye-tracking research in infants and older children has gained a lot of momentum over the last decades. Although eye-tracking research in these participant groups has become easier with the advance of the remote eye-tracker, this often comes at the cost of poorer data quality than in research with well-trained adults (Hessels, Andersson, Hooge, Nyström, & Kemner Infancy, 20, 601-633, 2015; Wass...

In studies of smooth eye movements, saccades are often detected and removed from eye movement records during analysis. A simple and effective method for saccade detection is described; the method uses jerk (the third derivative of eye position with respect to time).

Every journal finds its fundamentals in the course of time by the validity and originality of its published literature. This is validated if authors keep diligence and honesty when they conduct their research and submit their work in a journal. But at times what comes out of a scientific research is not always valid and reliable because there has not been an appropriate control on the work or r...

This paper provides efficient and robust algorithms for real-time face detection and recognition in complex backgrounds. The algorithms are implemented using a series of signal processing methods including Ada Boost, cascade classifier, Local Binary Pattern (LBP), Haar-like feature, facial image pre-processing and Principal Component Analysis (PCA). The Ada Boost algorithm is implemented in a c...

In this paper, a method of constructing saliency map based on learning method is proposed. The saliency map is constructed by nonlinear combination of features, and the nonlinear function is approached through a feed forward artificial neutral network (ANN) whose weight is trained by examples. The efficiency of the proposed method is verified in the eye detection problem. Experiments show that ...

This paper describes a method for glaucomatous eye detection based on fractal description, followed by classification. Two methods for fractal dimensions estimation, which give a different image/tissue description, are presented. The fundus color images are used, in which the areas with retinal nerve fibers are analyzed. The presented method shows that fractal dimensions can be used as features...

This paper presents an approach for real-time remote detection of eyeblink parameters. First, a combination of boosted classifiers and LucasKanade tracking is used to follow the movement of face and eyes. Then, detailed eye movement is described by normal flow. Finally, a discrete finite state machine is used to detect eye-blinks. The proposed approach is evaluated on a series of short video se...