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Human eye tracking devices can help to investigate principles of processing visual information by humans. The attention focus movement during the gaze can be used for behavioural analysis of humans. In this work we describe our experimental…

Human-Computer Interaction · Computer Science 2022-01-05 R. Kovtun , S. Radchenko , A. Netreba , O. Sudakov , R. Natarov , Z. Dyka , I. Kabin , P. Langendörfer

Efficiency of search for randomly distributed targets is a prominent problem in many branches of the sciences. For the stochastic process of L\'evy walks, a specific range of optimal efficiencies was suggested under variation of search…

Statistical Mechanics · Physics 2021-06-11 S. Mohsen J. Khadem , Sabine H. L. Klapp , Rainer Klages

The importance of an element in a visual stimulus is commonly associated with the fixations during a free-viewing task. We argue that fixations are not always correlated with attention or awareness of visual objects. We suggest to filter…

Neurons and Cognition · Quantitative Biology 2017-12-07 Xi Wang , Marc Alexa

Human eye-hand coordination relies on internal forward models that predict future states and compensate for sensory delays. During line tracing, the gaze typically leads the hand through predictive saccades, yet the extent to which this…

Neurons and Cognition · Quantitative Biology 2026-04-08 Emiko Shishido

Molecular search phenomena are observed in a variety of chemical and biological systems. During the search the participating particles frequently move in complex inhomogeneous environments with random transitions between different dynamic…

Statistical Mechanics · Physics 2018-11-13 Jaeoh Shin , Anatoly B. Kolomeisky

The statistics of first-passage times of random walks to target sites has proved to play a key role in determining the kinetics of space exploration in various contexts. In parallel, the number of distinct sites visited by a random walker…

Statistical Mechanics · Physics 2022-03-23 J. Klinger , A. Barbier-Chebbah , R. Voituriez , O. Bénichou

Motor activity of humans displays complex temporal fluctuations which can be characterized by scale-invariant statistics, thus documenting that structure and fluctuations of such kinetics remain similar over a broad range of time scales.…

Neurons and Cognition · Quantitative Biology 2016-06-22 E. Gudowska-Nowak , J. K. Ochab , K. Oles , E. Beldzik , D. R. Chialvo , A. Domagalik , M. Fafrowicz , T. Marek , M. A. Nowak , H. Oginska , J. Szwed , J. Tyburczyk

For more than a century lattice random walks have been employed ubiquitously, both as a theoretical laboratory to develop intuition about more complex stochastic processes and as a tool to interpret a vast array of empirical observations.…

Statistical Mechanics · Physics 2024-12-31 Luca Giuggioli , Seeralan Sarvaharman , Debraj Das , Daniel Marris , Toby Kay

Understanding reader behaviors such as skimming, deep reading, and scanning is essential for improving educational instruction. While prior eye-tracking studies have trained models to recognize reading behaviors, they often rely on…

Moving object detection and tracking have various applications, including surveillance, anomaly detection, vehicle navigation, etc. The literature on object detection and tracking is rich enough, and several essential survey papers exist.…

Computer Vision and Pattern Recognition · Computer Science 2020-12-29 Ajoy Mondal

In this paper we start with a simple question, how is it possible that humans can recognize different movements over skin with only a prior visual experience of them? Or in general, what is the representation of spatial sequences that are…

Artificial Intelligence · Computer Science 2023-11-14 Viacheslav M. Osaulenko

In this paper, we consider the problem of tracking the eye-gaze of individuals while they engage in reading. Particularly, we develop ways to accurately track the line being read by an individual using commercially available eye tracking…

Human-Computer Interaction · Computer Science 2019-02-12 Stephen Bottos , Balakumar Balasingam

Bifurcations mark qualitative changes of long-term behavior in dynamical systems and can often signal sudden ("hard") transitions or catastrophic events (divergences). Accurately locating them is critical not just for deeper understanding…

Machine Learning · Computer Science 2024-06-18 Yorgos M. Psarellis , Themistoklis P. Sapsis , Ioannis G. Kevrekidis

The interaction between the vestibular and ocular system has primarily been studied in controlled environments. Consequently, off-the shelf tools for categorization of gaze events (e.g. fixations, pursuits, saccade) fail when head movements…

Computer Vision and Pattern Recognition · Computer Science 2020-06-11 Rakshit Kothari , Zhizhuo Yang , Christopher Kanan , Reynold Bailey , Jeff Pelz , Gabriel Diaz

A classical approach to abnormal activity detection is to learn a representation for normal activities from the training data and then use this learned representation to detect abnormal activities while testing. Typically, the methods based…

Computer Vision and Pattern Recognition · Computer Science 2019-08-14 Royston Rodrigues , Neha Bhargava , Rajbabu Velmurugan , Subhasis Chaudhuri

The random walk is a fundamental stochastic process that underlies many numerical tasks in scientific computing applications. We consider here two neural algorithms that can be used to efficiently implement random walks on spiking…

Neural and Evolutionary Computing · Computer Science 2018-05-03 William Severa , Rich Lehoucq , Ojas Parekh , James B. Aimone

What are the cognitive after-effects of making a similarity judgement? What, cognitively, is left behind and what effect might these residues have on subsequent processing? In this paper, we probe for such after-effects using a visual…

Artificial Intelligence · Computer Science 2013-08-13 Stephanie OToole , Mark T. Keane

Humans can naturally and effectively find salient regions in complex scenes. Motivated by this observation, attention mechanisms were introduced into computer vision with the aim of imitating this aspect of the human visual system. Such an…

Computer Vision and Pattern Recognition · Computer Science 2022-07-06 Meng-Hao Guo , Tian-Xing Xu , Jiang-Jiang Liu , Zheng-Ning Liu , Peng-Tao Jiang , Tai-Jiang Mu , Song-Hai Zhang , Ralph R. Martin , Ming-Ming Cheng , Shi-Min Hu

Numerous everyday situations like navigation, medical imaging and rescue operations require viewing through optically inhomogeneous media. This is a challenging task as photons, instead of traversing ballistically, propagate predominantly…

The visual focus of attention (VFOA) has been recognized as a prominent conversational cue. We are interested in estimating and tracking the VFOAs associated with multi-party social interactions. We note that in this type of situations the…

Computer Vision and Pattern Recognition · Computer Science 2018-12-21 Benoît Massé , Silèye Ba , Radu Horaud