A visual analytics approach to facilitate the proctoring of online exams

H Li, M Xu, Y Wang, H Wei, H Qu - … of the 2021 CHI conference on …, 2021 - dl.acm.org
Online exams have become widely used to evaluate students' performance in mastering
knowledge in recent years, especially during the pandemic of COVID-19. However, it is …

E-cheating prevention measures: detection of cheating at online examinations using deep learning approach--a case study

LCO Tiong, HJJ Lee - arXiv preprint arXiv:2101.09841, 2021 - arxiv.org
This study addresses the current issues in online assessments, which are particularly
relevant during the Covid-19 pandemic. Our focus is on academic dishonesty associated …

An intelligent system for online exam monitoring

S Prathish, K Bijlani - 2016 International conference on …, 2016 - ieeexplore.ieee.org
For the past few years, e-learning has become popular across countries because of its
flexibility, availability and user friendliness. As far as online examinations are concerned; the …

Real-time head pose estimation using multi-task deep neural network

B Ahn, DG Choi, J Park, IS Kweon - Robotics and Autonomous Systems, 2018 - Elsevier
Driver inattention is one of the main causes of traffic accidents. To avoid such accidents,
advanced driver assistance system that passively monitors the driver's activities is needed …

Driver monitoring using sparse representation with part-based temporal face descriptors

CY Chiou, WC Wang, SC Lu, CR Huang… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Many driver monitoring systems (DMSs) have been proposed to reduce the risk of human-
caused accidents. Traditional DMSs focus on detecting specific predefined abnormal driving …

Single image-based head pose estimation with spherical parametrization and 3D morphing

H Yuan, M Li, J Hou, J Xiao - Pattern Recognition, 2020 - Elsevier
Head pose estimation plays a vital role in various applications, eg, driver-assistance
systems, human-computer interaction, virtual reality technology, and so on. We propose a …

Real-time multistep time-series prediction of driver's head pose during IVIS secondary tasks for Human–Machine codriving and distraction warning systems

X Zhao, Z Li, C Zhao, C Wang - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
An accurate prediction of a driver's head pose in the in-vehicle information system (IVIS)
tasks is essential for both distraction warning and vehicle takeover rule-making in human …

Efficient online engagement analytics algorithm toolkit that can run on edge

S Thiha, J Rajasekera - Algorithms, 2023 - mdpi.com
The rapid expansion of video conferencing and remote works due to the COVID-19
pandemic has resulted in a massive volume of video data to be analyzed in order to …

Learning 3D head pose from synthetic data: A semi-supervised approach

S Basak, P Corcoran, F Khan, R Mcdonnell… - IEEE …, 2021 - ieeexplore.ieee.org
Accurate head pose estimation from 2D image data is an essential component of
applications such as driver monitoring systems, virtual reality technology, and human …

Cross-domain multitask model for head detection and facial attribute estimation

SM Bafti, S Chatzidimitriadis, K Sirlantzis - IEEE Access, 2022 - ieeexplore.ieee.org
Extracting specific attributes of a face within an image, such as emotion, age, or head pose
has numerous applications. As one of the most widely used vision-based attribute extraction …