Gaze-based human–computer interaction for museums and exhibitions: technologies, Applications and Future Perspectives

P Dondi, M Porta - Electronics, 2023 - mdpi.com
Eye tracking technology is now mature enough to be exploited in various areas of human–
computer interaction. In this paper, we consider the use of gaze-based communication in …

Eye movement analysis for human authentication: a critical survey

C Galdi, M Nappi, D Riccio, H Wechsler - Pattern Recognition Letters, 2016 - Elsevier
This paper addresses the active and dynamic nature of biometrics, in general, and gaze
analysis, in particular, including motivation and background. The paper includes a critical …

GANT: Gaze analysis technique for human identification

V Cantoni, C Galdi, M Nappi, M Porta, D Riccio - Pattern Recognition, 2015 - Elsevier
Anatomical biometric recognition is widely used in a large number of civilian and
government applications, within well-tested biometric parameters. New sensors and …

Sentiment-enhanced learning model for online language learning system

L Li - Electronic Commerce Research, 2018 - Springer
With the rapid development of the Internet, online learning is gradually taking the place of
part of the offline learning. At the same time, a wide range of methods have been adopted to …

Demographic classification through pupil analysis

V Cantoni, L Cascone, M Nappi, M Porta - Image and Vision Computing, 2020 - Elsevier
An area of biometrics that has recently attracted much attention is gender and age
classification. Its applications can be found not only in the fields of security and surveillance …

A new gaze analysis based soft-biometric

C Galdi, M Nappi, D Riccio, V Cantoni… - Pattern Recognition: 5th …, 2013 - Springer
Soft Biometric traits are physical or behavioral human characteristics like skin color, eye
color, gait, used by humans to distinguish their peers. However soft biometric characteristics …

University students use of computers and mobile devices for learning and their reading speed on different platforms.

B Mpofu - Universal Journal of Educational Research, 2016 - ERIC
This research was aimed at the investigation of mobile device and computer use at a higher
learning institution. The goal was to determine the current use of computers and mobile …

An experimental study of learning behaviour in an elearning environment

K Alhasan, L Chen, F Chen - 2018 IEEE 20th international …, 2018 - ieeexplore.ieee.org
To achieve an adaptive eLearning system, it is essential to monitor the learner behaviour
dynamically to diagnose their learning style. Eye tracking can serve that purpose by …

[PDF][PDF] Eye gaze feature classification for predicting levels of learning

S Parikh, H Kalva - Proceedings of the 8th workshop on personalization …, 2018 - ceur-ws.org
E-Learning courses reach online to millions worldwide. Amidst the geo-flexibility of
registering students, the main challenges are instructor feedback and student retention …

Endogenous eye blinking rate to support human–automation interaction for e-learning multimedia content specification

OO Mwambe, PX Tan, E Kamioka - Education Sciences, 2021 - mdpi.com
As intelligent systems demand for human–automation interaction increases, the need for
learners' cognitive traits adaptation in adaptive educational hypermedia systems (AEHS) …