Review and perspectives on driver digital twin and its enabling technologies for intelligent vehicles

Z Hu, S Lou, Y **ng, X Wang, D Cao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Digital Twin (DT) is an emerging technology and has been introduced into intelligent driving
and transportation systems to digitize and synergize connected automated vehicles …

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 …

EEG-based measurement system for monitoring student engagement in learning 4.0

A Apicella, P Arpaia, M Frosolone, G Improta… - Scientific Reports, 2022 - nature.com
A wearable system for the personalized EEG-based detection of engagement in learning 4.0
is proposed. In particular, the effectiveness of the proposed solution is assessed by means …

A review on data fusion in multimodal learning analytics and educational data mining

W Chango, JA Lara, R Cerezo… - … Reviews: Data Mining …, 2022 - Wiley Online Library
The new educational models such as smart learning environments use of digital and context‐
aware devices to facilitate the learning process. In this new educational scenario, a huge …

Application of deep learning on student engagement in e-learning environments

P Bhardwaj, PK Gupta, H Panwar, MK Siddiqui… - Computers & Electrical …, 2021 - Elsevier
The drastic impact of COVID-19 pandemic is visible in all aspects of our lives including
education. With a distinctive rise in e-learning, teaching methods are being undertaken …

Advanced, analytic, automated (AAA) measurement of engagement during learning

S D'Mello, E Dieterle, A Duckworth - Educational psychologist, 2017 - Taylor & Francis
It is generally acknowledged that engagement plays a critical role in learning. Unfortunately,
the study of engagement has been stymied by a lack of valid and efficient measures. We …

Video-based heart rate measurement: Recent advances and future prospects

X Chen, J Cheng, R Song, Y Liu… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Heart rate (HR) estimation and monitoring is of great importance to determine a person's
physiological and mental status. Recently, it has been demonstrated that HR can be …

Video-based engagement estimation of game streamers: An interpretable multimodal neural network approach

S Pan, GJW Xu, K Guo, SH Park… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In this article, we propose a nonintrusive and nonrestrictive multimodal deep learning model
for estimating the engagement levels of game streamers. We incorporate three modalities …

[HTML][HTML] Deep learning methods for remote heart rate measurement: A review and future research agenda

CH Cheng, KL Wong, JW Chin, TT Chan, RHY So - Sensors, 2021 - mdpi.com
Heart rate (HR) is one of the essential vital signs used to indicate the physiological health of
the human body. While traditional HR monitors usually require contact with skin, remote …

Facial-video-based physiological signal measurement: Recent advances and affective applications

Z Yu, X Li, G Zhao - IEEE Signal Processing Magazine, 2021 - ieeexplore.ieee.org
Monitoring physiological changes [eg, heart rate (HR), respiration, and HR variability (HRV)]
is important for measuring human emotions. Physiological responses are more reliable and …