SEE POSTUMA DOI101093/AWW131 FOR A SCIENTIFIC COMMENTARY ON THIS ARTICLE: Resting state functional magnetic resonance imaging dysfunction within the basal ganglia network is a feature of early Parkinson's disease and may be a diagnostic biomarker of basal ganglia dysfunction. Currently, it is unclear whether these changes are present in so-called idiopathic rapid eye movement sleep behaviour di...

Common computational methods for automated eye movement detection – i.e. the task of detecting different types of eye movement in a continuous stream of gaze data – are limited in that they either involve thresholding on hand-crafted signal features, require individual detectors each only detecting a single movement, or require pre-segmented data. We propose a novel approach for eye movement de...

We present a system that simultaneously tracks eyes and detects eye blinks. Two interactive particle filters are used for this purpose, one for the closed eyes and the other one for the open eyes. Each particle filter is used to track the eye locations as well as the scales of the eye subjects. The set of particles that gives higher confidence is defined as the primary set and the other one is ...

The detection of a person’s eyes is basic task in applications as important iris recognition biometric identification or fatigue driving assistance systems. Current commercial and research systems use software frameworks that require dedicated computer, whose power consumption, size price are significantly large. This paper presents hardware-based embedded solution for eye real-time. From an al...

Most eye trackers work well for open eyes. However, blinking is a physiological necessity for humans. Moreover, for applications such as facial expression analysis and driver awareness systems, we need to do more than tracking the locations of the person’s eyes but obtain their detailed description. We need to recover the state of the eyes (i.e. whether they are open or closed), and the paramet...

There are a variety of potential uses for the classification eye conditions, including tiredness detection, psychological condition evaluation, etc. Because its significance, many studies utilizing typical neural network algorithms have already been published in literature, with good results. Convolutional networks (CNNs) employed real-time applications to achieve two goals: high accuracy and s...

purpose: to report a relatively rare case of familial exudative vitreoretinopathy (fevr). patient and findings: a 13-year-old boy referred with decreased visual acuity of both eyes, specially right eye from 6 years ago. he had several ophthalmologist and optometrist visits and spectacle prescription without any improvement of vision. best corrected visual acuity (bcva) was 25 cm of count finger...

New method of blinking detection is proposed. The utmost important of blinking detection method is robust against different users, noise, and also change of eye shape. In this paper, we propose blinking detection method by measuring the distance between two arcs of eye (upper part and lower part). We detect eye arcs by apply Gabor filter onto eye image. As we know that Gabor filter has advantag...