A visual analytics approach to facilitate the proctoring of online exams
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 …
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
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 …
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 …
flexibility, availability and user friendliness. As far as online examinations are concerned; the …
Real-time head pose estimation using multi-task deep neural network
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 …
advanced driver assistance system that passively monitors the driver's activities is needed …
Driver monitoring using sparse representation with part-based temporal face descriptors
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 …
caused accidents. Traditional DMSs focus on detecting specific predefined abnormal driving …
Single image-based head pose estimation with spherical parametrization and 3D morphing
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 …
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 …
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 …
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
Accurate head pose estimation from 2D image data is an essential component of
applications such as driver monitoring systems, virtual reality technology, and human …
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 …
has numerous applications. As one of the most widely used vision-based attribute extraction …