Engagement detection in online learning: a review

M Dewan, M Murshed, F Lin - Smart Learning Environments, 2019 - Springer
Online learners participate in various educational activities including reading, writing,
watching video tutorials, online exams, and online meetings. During the participation in …

Fast and robust dynamic hand gesture recognition via key frames extraction and feature fusion

H Tang, H Liu, W Xiao, N Sebe - Neurocomputing, 2019 - Elsevier
Gesture recognition is a hot topic in computer vision and pattern recognition, which plays a
vitally important role in natural human-computer interface. Although great progress has been …

Gently does it: Humans outperform a software classifier in recognizing subtle, nonstereotypical facial expressions.

N Yitzhak, N Giladi, T Gurevich, DS Messinger… - Emotion, 2017 - psycnet.apa.org
According to dominant theories of affect, humans innately and universally express a set of
emotions using specific configurations of prototypical facial activity. Accordingly, thousands …

Gesture phase segmentation using support vector machines

RCB Madeo, SM Peres, CA de Moraes Lima - Expert Systems with …, 2016 - Elsevier
An interaction between humans or between a human and a machine will be more effective if
it is supported by gestures. In different levels of complexity, the communication system used …

The automatic detection of cognition using eeg and facial expressions

M El Kerdawy, M El Halaby, A Hassan, M Maher… - Sensors, 2020 - mdpi.com
Detecting cognitive profiles is critical to efficient adaptive learning systems that automatically
adjust the content delivered depending on the learner's cognitive states and skills. This …

[HTML][HTML] DMCNet: Diversified model combination network for understanding engagement from video screengrabs

S Batra, H Wang, A Nag, P Brodeur, M Checkley… - Systems and Soft …, 2022 - Elsevier
Engagement is an essential indicator of the Quality-of-Learning Experience (QoLE) and
plays a major role in developing intelligent educational interfaces. The number of people …

Automatic student engagement measurement using machine learning techniques: A literature study of data and methods

S Mandia, R Mitharwal, K Singh - Multimedia Tools and Applications, 2024 - Springer
Student engagement is positively related to learning outcomes. The student engagement
measurement is studied in varied settings, from the traditional classroom to online learning …

[PDF][PDF] A survey on automatic engagement recognition methods: online and traditional classroom

A Sukumaran, A Manoharan - Indonesian Journal of Electrical …, 2023 - academia.edu
Student engagement in a learning environment is directly related to students' perception and
involvement of the educational activities in the class, along with their physical and mental …

Pointing, pairing and grouping gesture recognition in virtual reality

V Gorobets, C Merkle, A Kunz - … on Computers Helping People with Special …, 2022 - Springer
During a team discussion, participants frequently perform pointing, pairing, or grouping
gestures on artifacts on a whiteboard. While the content of the whiteboard is accessible to …

Detecting student engagement in classrooms for intelligent tutoring systems

HT Binh, NQ Trung, HAT Nguyen… - 2019 23rd International …, 2019 - ieeexplore.ieee.org
Detecting and tracking student engagement in a large classroom can help tutors or
automatic learning systems easily control or summarize the situation. To come up with the …