Social signal processing: Survey of an emerging domain
By Alessandro Vinciarelli, Maja Pantic, Hervé Bourlard. 2009
1,136 citations recorded by the source corpus.
Subfields: Experimental and Cognitive Psychology, Information Systems, Social Psychology
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Experimental and Cognitive Psychology
- Björn Schuller
- Michel François Valstar
- Maja Pantic
- Jeffrey F. Cohn
- Florian Eyben
- Anton Batliner
- Stefan Steidl
- Brais Martínez
In Information Systems
- Liang Wang
- François Rocca
- Dan Xu
- Björn Schuller
- Yongzhen Huang
- Matei Mancas
- Nicu Sebe
- Alessandro Vinciarelli
In Social Psychology
- Björn Schuller
- Fabien Ringeval
- Marcello Mortillaro
- Catherine Saint-Georges
- Ammar Mahdhaoui
- Mohamed Chetouani
- Nicu Sebe
- Alessandro Vinciarelli
Citations in the corpus
- Facial Expression Recognition Based on Deep Evolutional Spatial-Temporal Networks (2017, background): “FACIAL expression recognition has become an increasingly active research topic in the field of computer vision, as it plays an important role in many applications such as human-computer interaction [1] and health care [2].”
- 3D Head Pose Estimation for TV Setups (2013, background): “Movement and orientation of the head are important non-verbal cues that can convey rich information about a person’s behaviour and attention [24][12].”
- Bridging the Gap between Social Animal and Unsocial Machine: A Survey of Social Signal Processing (2012, neutral): “The domain is still in its early stages [13] and no major efforts have been done yet for the collection of data specifically aimed at the analysis of social phenomena.”
- The INTERSPEECH 2013 computational paralinguistics challenge: social signals, conflict, emotion, autism (2013, background): “The novel Challenge for INTERSPEECH 2013 broadens the scope and increases the number of tasks and new databases provided in response to the increased participation [8]: In line with the INTERSPEECH 2013’s theme “Speech in Life Sciences and Human Societies”, we address the novel tasks social signals ”
- Every Smile is Unique: Landmark-Guided Diverse Smile Generation (2018, background): “Facial expressions are one of the –if not the– most prominent non-verbal signals for human communication [40].”
- Interpersonal Synchrony: A Survey of Evaluation Methods across Disciplines (2012, background): “First, we present definitions and functions of synchrony in youth and adulthood.”