Projects 500,000 images closer to eyelid and pupil segmentation We propose a fully convolutional neural networkfor pupil and eyelid segmentation as well as eyelid landmark and pupil ellipsis regression. The network is jointly trained using the Log loss forsegmentation and L1 loss for landmark and ellipsis regression. The ap-plication of the proposed network is the offline processing and creationof... 55 Rides. Attention annotated head and gaze data during naturalistic driving Trained eye patterns are essential for safe driving. Whether for exploration of the surrounding traffic or to make sure that a lane is clear through a shoulder check - quick and effective perception is the key to driving safety. Surprisingly though, free and open access data on gaze behavior during... Blink Detection A blink detection algorithm on eye images tailored towards head-mounted eye-trackers. Eye Movements Approaches for segmentation and synthesis of eye-tracking data using different neural networks and machine learning approaches. Eye labeling Ground truth data is an important prerequisite for the development and evaluation of many algorithms in the area of computer vision, especially when these are based on convolutional neural networks or other machine learning approaches that unfold their power mostly by supervised learning. This learning relies on ground truth data,... EyeRecToo In this paper, we introduce EyeRecToo, an open-source software for real-time pervasive head-mounted eye-tracking. Out of the box, EyeRecToo offers multiple real-time state-of-the-art pupil detection and gaze estimation methods, which can be easily replaced by user implemented algorithms if desired. A novel calibration method that allows users to calibrate the... Eyetrace Eyetrace is a tool for analysis of eye-tracking data. It has the approach to bunch a variety of different evaluation methods for a large share of eye trackers supporting scientific work and medical diagnosis. To allow EyeTrace to be compatible to different eye trackers, an additional tool called Eyetrace Butler... Intelligent Microscope Head-mounted eye tracking offers remarkable opportunities for research and applications regarding pervasive health monitoring, mental state inference, and human computer interaction in dynamic scenarios. Although a plethora of software for the acquisition of eye-tracking data exists, they often exhibit critical issues when pervasive eye tracking is considered, e.g., closed source,... Neural networks for optical vector and eye ball parameter estimation In this work we evaluate neural networks, support vector machinesand decision trees for the regression of the center of the eyeballand the optical vector based on the pupil ellipse. In the evaluationwe analyze single ellipses as well as window-based approaches asinput. Comparisons are made regarding accuracy and runtime. Theevaluation gives... Pupil detection The reliable estimation of the pupil position in eye images is perhaps the most important prerequisite in gaze-based HMI applications. While there are many approaches that enable accurate pupil tracking under laboratory conditions, tracking the pupil in real-world images is highly challenging due to changes in illumination, reflections on glasses... Scanpath Comparison Our eye movements are driven by a continuous trade-off between the need for detailed examination of objects of interest and the necessity to keep an overview of our surrounding. In consequence, behavioral patterns that are characteristic for our actions and their planning are typically manifested in the way we move... Labeled pupils in the wild segmented eyes We evaluated Generative Adversarial Networks(GAN) for eyelid and pupil area segmentation, data gener-ation, and image refinement. While the segmentation GANperforms the desired task, the others serve as supportiveNetworks. The trained data generation GAN does not re-quire simulated data to increase the dataset, it simply usesexisting data and creates subsets. The... Vishnoo Vishnoo (Visual Search Examination Tool) is an integrated framework that combines configurable search tasks with gaze tracking capabilities, thus enabling the analysis of both, the visual field and the visual attention.
