PRHCI 2014 - Special issue on Pattern Recognition in Human-Computer Interaction

Building intelligent artificial companions capable to interact with humans in the same way humans interact with each other is a major challenge in affective computing. Such a type of interactive companion must be able to perceive and interprete multimodal information about the user in order to be able to produce an appropriate response. The proposed special issue mainly focuses on pattern recognition and machine learning methods for the perception of the user’s affective states, activities and intentions.
Topics of interest include (yet, they are not limited to) the following issues.
Algorithms to recognize emotions, behaviors, activities and intentions
? Facial expression recognition
? Recognition of gestures, head/body poses
? Audiovisual emotion recognition
? Analysis of bio-?‐physiological data for emotion recognition
? Multimodal information fusion architectures
? Multi-Classifier Systems and Multi-View Classifiers
? Temporal fusion
Learning algorithms for social signal processing
? Learning from unlabeled and partially labeled data
? Learning with noisy/uncertain labels
? Deep learning architectures
? Learning of time series
Applications
? Companion Technologies
? Robotics
? Assistive systems
Benchmark data bases
Paper submission
The papers must be submitted online via the Pattern Recognition Letters Journal website (http://ees.elsevier.com/patrec/), selecting the choice that indicates this special issue (identifier: PR-?‐HCI). Please, prepare your paper following the Journal guidelines for Authors
(http://www.elsevier.com/wps/find/journaldescriptio...), which include specifications for submissions aimed at Special Issues. Priority will be given to the papers with high novelty and originality.
Guest editors
Friedhelm Schwenker (Managing Editor)
Institute of Neural Information Processing
Ulm University, Germany
friedhelm.schwenker-AT-uni--‐ulm.de
Stefan Scherer
Multimodal Communication and Machine Learning Laboratory
Institute for Creative Technologies
University of Southern California
scherer-AT-ict.usc.edu
Louis-Philippe Morency
Multimodal Communication and Machine Learning Laboratory
Institute for Creative Technologies
University of Southern California
morency-AT-ict.usc.edu