Results 61 to 70 of about 11,341 (285)
Modeling Gaze Distribution in Cross-situational Learning. [PDF]
, 2019 Here we investigate the performance of two models in predicting human gaze behavior in cross situational word learning.Previous work has developed two diverging accounts of potential mechanisms that might serve this learning ability. Thefirst, associative learning, relies on the integration of contextual statistics across time.
Amatuni, Andrei, Yu, Chen
openaire +1 more source
Advanced Intelligent Discovery, EarlyView.This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury +4 more
wiley +1 more source
The Role of Animal Cognition in Human-Wildlife Interactions
Frontiers in Psychology, 2020 Humans have a profound effect on the planet’s ecosystems, and unprecedented rates of human population growth and urbanization have brought wild animals into increasing contact with people.
Madeleine Goumas +5 more
doaj +1 more source
, 2023 Directional judgments of the arrow became slower when the direction and location were incongruent in the spatial Stroop task (i.e., a spatial Stroop effect). In contrast, gaze judgments were slower when they were congruent (i.e., a reversed congruency effect). The present study examined the reaction time (RT) distribution of interference effects in the
Yoshihiko Tanaka +3 more
openaire +1 more source
Gaze displacement from tangent point during cornering.
, 2013 Distribution of gaze displacement from the tangent point. Density estimate and marginal density distributions (horizontal and vertical). The tangent point lies at the origin, the near zone lies mainly in the lower left quadrant, and the far zone in the ...
Teemu H. Itkonen (435749) +2 more
core +1 more source
Advanced Intelligent Systems, EarlyView.Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal +6 more
wiley +1 more source
Gaze and discomfort glare, Part 1: Development of a gaze-driven photometry
Discomfort glare is a major challenge for the design of workplaces. The existing metrics for discomfort glare prediction share the limitation that they do not take gaze direction into account.
Sarey Khanie, Mandana +4 more
core +1 more source
iType: Using eye gaze to enhance typing privacy
, 2017 This paper presents iType, a system that uses eye gaze for typing private information on commodity mobile platforms. The design combats three primary challenges: 1) relatively low accuracy of mobile gaze tracking; 2) difficulties in correcting input ...
Chen, Shuaiyu +9 more
core +1 more source
Modeling the Effect of Driver’s Eye Gaze Pattern Under Workload: GaussianMixture Approach [PDF]
, 2020 This paper puts forward a Gaussian Mixture Model (GMM) foreye gaze behavior under workload and applies it to the analy-sis of gaze distributions in an automotive context. Specifically,it extends earlier work on Information Constrained Control(ICC) (Hecht,
Hillel, Aharon Bar +5 more
core
American Journal of Medical Genetics Part A, EarlyView.ABSTRACT Heterozygous variants in the AHDC1 gene are associated with Xia Gibbs Syndrome (XGS), a genetic disorder with a highly variable phenotype. Cognitive impairment, motor delay, language delay, neonatal hypotonia, and sleep apnea are considered “cardinal” signs of the disease.
Giulia Cinelli +18 more
wiley +1 more source