Transactions on Affective Computing
IEEE Transactions on Affective Computing (TAC) is intended to be a cross disciplinary and international archive journal aimed at disseminating results of research on the design of systems that can recognize, interpret, and simulate human emotions and related affective phenomena. Read the full scope of TAC
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From the January-March 2017 issue
Automated Detection of Engagement Using Video-Based Estimation of Facial Expressions and Heart Rate
By Hamed Monkaresi, Nigel Bosch, Rafael A. Calvo, and Sidney K. D’Mello
We explored how computer vision techniques can be used to detect engagement while students (N = 22) completed a structured writing activity (draft-feedback-review) similar to activities encountered in educational settings. Students provided engagement annotations both concurrently during the writing activity and retrospectively from videos of their faces after the activity. We used computer vision techniques to extract three sets of features from videos, heart rate, Animation Units (from Microsoft Kinect Face Tracker), and local binary patterns in three orthogonal planes (LBP-TOP). These features were used in supervised learning for detection of concurrent and retrospective self-reported engagement. Area under the ROC Curve (AUC) was used to evaluate classifier accuracy using leave-several-students-out cross validation. We achieved an AUC = .758 for concurrent annotations and AUC = .733 for retrospective annotations. The Kinect Face Tracker features produced the best results among the individual channels, but the overall best results were found using a fusion of channels.
Editorials and Announcements
- Heartfelt congratulations are offered to Georgios N. Yannakakis and Julian Togelius, authors of "Experience-Driven Procedural Content Generation," who were presented with TAC's Most Influential Paper Award by Editor-in-Chief Björn W. Schuller at the 2015 6th AAAC Affective Computing and Intelligent Interaction Conference in Xi'An, P.R. China on 22 September 2015.
- TAC is now indexed in ISI. According to Thomson Reuters' 2014 Journal Citation Report, TAC has an impact factor of 2.675.
- Get Your Journals as eBooks for Free.
- Former Editor-in-Chief Dr. Jonathan Gratch Featured in April's Volunteer Spotlight interview.
- Editorial: IEEE Transactions on Affective Computingâ€”Challenges and Chances (Jan-March 2017)
- Editorial: Transactions on Affective Computing – Changes and Continuance (Jan-March 2016)
- Editorial: State of the Journal (July-Sept 2014)
- Introduction to TAC by J. Gratch
- Best of Bodynets 2014: Editorial (July-Sept 2016)
- Challenges and Perspectives for Affective Analysis in Multimedia (July-Sept 2015)
- Introduction to the "Best of ACII 2013" Special Section (April-June 2015)
- Affect and Wellbeing: Introduction to Special Section (July-Sept 2014)
- Editorial for the Special Section on Ethics and Affective Computing
- Introduction to the Affect-Based Human Behavior Understanding Special Issue
- Affective Computing: From Laughter to IEEE by R.W. Picard
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TAC is indexed in ISI