Categorical and dimensional affect analysis in continuous input: Current trends and future directions

By Hatice Gunes, Björn Schuller. Image and Vision Computing, 2013

385 citations recorded by the source corpus.

Subfields: Experimental and Cognitive Psychology, Social Psychology

View Paper: https://www.semanticscholar.org/paper/11196dbd0b6493bcbf438e2adf38de42a74e347b

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In Experimental and Cognitive Psychology

In Social Psychology

Citations in the corpus

A Comprehensive Review of Speech Emotion Recognition Systems (2021, background): “We can sum up that in light of various emotion hypotheses, existing emotion models can be separated into two categories: Attributes and Categorical [12].”
Analysis of EEG Signals and Facial Expressions for Continuous Emotion Detection (2016, methodology): “For a comprehensive review of continuous emotion detection, we refer the reader to [9].”
Multimodal Continuous Emotion Recognition with Data Augmentation Using Recurrent Neural Networks (2018, background): “Continuous emotion recognition as a function of time assigns an emotional value to every frame in a sequence [1, 2], usually consisting of arousal, valence, and dominance [3].”
DREAMER: A Database for Emotion Recognition Through EEG and ECG Signals From Wireless Low-cost Off-the-Shelf Devices (2018, background): “[18] present an extensive review on continuous affect detection.”
Deep Facial Expression Recognition: A Survey (2018, background): “Two additional models were developed to describe a larger range of emotional landscapes: the FACS model [10], [137], where various facial muscle AUs were combined to describe the visible appearance changes in facial expressions, and the dimensional model [11], [213], where two continuous-valued vari”
Introducing the RECOLA multimodal corpus of remote collaborative and affective interactions (2013, methodology): “Each approach, categorical, dimensional or appraisal, has its advantages and disadvantages [7], [22].”
Speech emotion recognition (2018, positive): “In the case of discretized time, that is, judgment per larger segment of speech, pairwise comparisons leading to a ranking have recently emerged as an interesting alternative, as it may be easier for a rater to compare two or more stimuli rather than find an absolute value assignment for any stimulu”
Facial Expression Analysis under Partial Occlusion (2018, methodology): “…facial occlusion, and for uncovered issues with respect to face location, face normalization, face tracking, feature extraction and classifier design in non-occluded faces, readers are referred to [Pantic and Rothkrantz 2000],[Fasel and Luettin 2003],[Gunes, et al. 2011],[Gunes and Schuller 2013].”
Measuring Affect for the Study and Enhancement of Co-present Creative Collaboration (2013, background): “For example, researchers at MIT Media Lab have developed software that can use a webcam to continuously monitor the facially-expressed emotion of people viewing online videos [20].”
Emotional Voice Conversion: Theory, Databases and ESD (2021, background): “One example is Russell’s circumplex model [76, 81], which is defined by arousal, valence, and dominance [82].”
Automatic Analysis of Facial Affect: A Survey of Registration, Representation, and Recognition (2015, background): “Basic emotions are believed to be limited in their ability to represent the broad range of everyday emotions [48].”