Advanced, analytic, automated (AAA) measurement of engagement during learning
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 …
the study of engagement has been stymied by a lack of valid and efficient measures. We …
Microexpression identification and categorization using a facial dynamics map
Unlike conventional facial expressions, microexpressions are instantaneous and involuntary
reflections of human emotion. Because microexpressions are fleeting, lasting only a few …
reflections of human emotion. Because microexpressions are fleeting, lasting only a few …
Predicting students' attention in the classroom from Kinect facial and body features
J Zaletelj, A Košir - EURASIP journal on image and video processing, 2017 - Springer
This paper proposes a novel approach to automatic estimation of attention of students
during lectures in the classroom. The approach uses 2D and 3D data obtained by the Kinect …
during lectures in the classroom. The approach uses 2D and 3D data obtained by the Kinect …
Predicting student engagement in classrooms using facial behavioral cues
C Thomas, DB Jayagopi - Proceedings of the 1st ACM SIGCHI …, 2017 - dl.acm.org
Student engagement is the key to successful classroom learning. Measuring or analyzing
the engagement of students is very important to improve learning as well as teaching. In this …
the engagement of students is very important to improve learning as well as teaching. In this …
Supervised committee of convolutional neural networks in automated facial expression analysis
Automated emotion recognition from facial images is an unsolved problem in computer
vision. Although recent methods achieve close to human accuracy in controlled scenarios …
vision. Although recent methods achieve close to human accuracy in controlled scenarios …
Emerging trends in security system design using the concept of social behavioural biometrics
This chapter investigates how existing biometric research can be advanced by integrating it
with the social behavioural information. Analytical discussions on how social behavioural …
with the social behavioural information. Analytical discussions on how social behavioural …
Multimodal student engagement recognition in prosocial games
A Psaltis, KC Apostolakis… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
In this paper, we address the problem of recognizing student engagement in prosocial
games by exploiting engagement cues from different input modalities. Since engagement is …
games by exploiting engagement cues from different input modalities. Since engagement is …
Factorized variational autoencoders for modeling audience reactions to movies
Matrix and tensor factorization methods are often used for finding underlying low-
dimensional patterns from noisy data. In this paper, we study non-linear tensor factoriza-tion …
dimensional patterns from noisy data. In this paper, we study non-linear tensor factoriza-tion …
Facial expression recognition via joint deep learning of rgb-depth map latent representations
OK Oyedotun, G Demisse… - Proceedings of the …, 2017 - openaccess.thecvf.com
Humans use facial expressions successfully for conveying their emotional states. However,
replicating such success in the human-computer interaction domain is an active research …
replicating such success in the human-computer interaction domain is an active research …