1 |
Interpersonal Synchrony: From Social Perception to Social Interaction
|
|
|
|
In: Social Signal Processing ; https://hal-pasteur.archives-ouvertes.fr/pasteur-02070422 ; Edited by Judee K. Burgoon, University of Arizona Nadia Magnenat-Thalmann, Université de Genève Maja Pantic, Imperial College London Alessandro Vinciarelli, University of Glasgow. Social Signal Processing, Cambridge University Press, pp.202-212, 2017, Social Signal Processing, 9781316676202. ⟨10.1017/9781316676202.015⟩ ; https://www.cambridge.org/core/books/social-signal-processing/interpersonal-synchrony-from-social-perception-to-social-interaction/50D491B6C3AB7767858C80CF612C28A5 (2017)
|
|
BASE
|
|
Show details
|
|
2 |
Fera 2015 - second facial expression recognition and analysis challenge
|
|
|
|
In: http://www.cs.nott.ac.uk/%7Epszmv/Documents/FERA2015.pdf (2015)
|
|
BASE
|
|
Show details
|
|
3 |
M.: A semi-automatic methodology for facial landmark annotation. In
|
|
|
|
In: http://ibug.doc.ic.ac.uk/media/uploads/documents/sagonas_cvpr_2013_amfg_w.pdf (2013)
|
|
BASE
|
|
Show details
|
|
4 |
The first facial expression recognition and analysis challenge
|
|
|
|
In: http://ibug.doc.ic.ac.uk/media/uploads/documents/pdf17.pdf (2011)
|
|
BASE
|
|
Show details
|
|
5 |
Audiovisual discrimination between speech and laughter: Why and when visual information might help
|
|
|
|
In: http://ibug.doc.ic.ac.uk/media/uploads/documents/petridispantic_2011_tmm.pdf (2011)
|
|
BASE
|
|
Show details
|
|
6 |
Classifying laughter and speech using audio-visual feature prediction
|
|
|
|
In: http://ibug.doc.ic.ac.uk/media/uploads/documents/ICASSP-2010-PetridisEtAl-CAMERA.pdf (2010)
|
|
BASE
|
|
Show details
|
|
7 |
Static vs. Dynamic Modeling of Human Nonverbal Behavior from Multiple Cues and Modalities
|
|
|
|
In: http://www.doc.ic.ac.uk/~maja/ICMI-2009-PetridisEtAl-CAMERA.pdf (2009)
|
|
BASE
|
|
Show details
|
|
8 |
A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions
|
|
|
|
In: http://www.doc.ic.ac.uk/~maja/PAMI-AVemotionSurvey-CAMERA.pdf (2009)
|
|
BASE
|
|
Show details
|
|
10 |
Social Signal Processing: Survey of an Emerging Domain
|
|
|
|
In: http://www.idiap.ch/~vincia/papers/sspsurvey.pdf (2008)
|
|
BASE
|
|
Show details
|
|
11 |
Social Signal Processing: State-of-the-art and future perspectives of an emerging domain
|
|
|
|
In: http://www.idiap.ch/~vincia/papers/bravetopic.pdf (2008)
|
|
BASE
|
|
Show details
|
|
12 |
Social Signal Processing: State-of-the-art and future perspectives of an emerging domain
|
|
|
|
In: http://www.doc.ic.ac.uk/~maja/ACM-MM-2008-VinciarelliEtAl-CAMERA.pdf (2008)
|
|
BASE
|
|
Show details
|
|
13 |
Social Signal Processing: Survey of an Emerging Domain
|
|
|
|
In: http://www.doc.ic.ac.uk/~maja/IVCJ-SSPsurvey-FINAL.pdf (2008)
|
|
BASE
|
|
Show details
|
|
14 |
Fusion of audio and visual cues for laughter detection
|
|
|
|
In: http://www.doc.ic.ac.uk/~maja/CIVR-2008-PetridisPantic-CAMERA.pdf (2008)
|
|
BASE
|
|
Show details
|
|
15 |
Facial Action Recognition for Facial Expression Analysis from Static Face Images
|
|
|
|
In: http://www.kbs.twi.tudelft.nl/People/Staff/M.Pantic/SMCB-2004-final.pdf (2004)
|
|
BASE
|
|
Show details
|
|
16 |
20 Machine Analysis of Facial Expressions 1. Human Face and Its Expression
|
|
|
|
In: http://s.i-techonline.com/Book/Face-Recognition/ISBN978-3-902613-03-5-fr20.pdf
|
|
BASE
|
|
Show details
|
|
17 |
VISUAL-ONLY DISCRIMINATION BETWEEN NATIVE AND NON-NATIVE SPEECH
|
|
|
|
In: http://ibug.doc.ic.ac.uk/media/uploads/documents/georgakisetal_visualonlynativevsnonnative.pdf
|
|
BASE
|
|
Show details
|
|
18 |
20 Machine Analysis of Facial Expressions 1. Human Face and Its Expression
|
|
|
|
In: http://mplab.ucsd.edu/~marni/pubs/panticbartlett_2007.pdf
|
|
BASE
|
|
Show details
|
|
19 |
20 Machine Analysis of Facial Expressions 1. Human Face and Its Expression
|
|
|
|
In: http://www.doc.ic.ac.uk/~maja/PanticBartlett-Chapter-Proof2.pdf
|
|
BASE
|
|
Show details
|
|
20 |
Social Signal Processing: The Research Agenda
|
|
|
|
In: http://ibug.doc.ic.ac.uk/media/uploads/documents/looking@people-panticetal-revision-final.pdf
|
|
Abstract:
Abstract. The exploration of how we react to the world and interact with it and each other remains one of the greatest scientific challenges. Latest research trends in cognitive sciences argue that our common view of intelligence is too narrow, ignoring a crucial range of abilities that matter immensely for how people do in life. This range of abilities is called social intelligence and includes the ability to express and recognise social signals produced during social interactions like agreement, politeness, empathy, friendliness, conflict, etc., coupled with the ability to manage them in order to get along well with others while winning their cooperation. Social Signal Processing (SSP) is the new research domain that aims at understanding and modelling social interactions (human-science goals), and at providing computers with similar abilities in human-computer interaction scenarios (technological goals). SSP is in its infancy, and the journey towards artificial social intelligence and socially-aware computing is still long. This research agenda is a twofold, a discussion about how the field is understood by people who are currently active in it and a discussion about issues that the researchers in this formative field face.
|
|
Keyword:
human; human behaviour analysis; social signal processing
|
|
URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.371.3893 http://ibug.doc.ic.ac.uk/media/uploads/documents/looking@people-panticetal-revision-final.pdf
|
|
BASE
|
|
Hide details
|
|
|
|