Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers

MB Akçay, K Oğuz - Speech Communication, 2020 - Elsevier
Speech is the most natural way of expressing ourselves as humans. It is only natural then to
extend this communication medium to computer applications. We define speech emotion …

[HTML][HTML] A review of human activity recognition methods

M Vrigkas, C Nikou, IA Kakadiaris - Frontiers in Robotics and AI, 2015 - frontiersin.org
Recognizing human activities from video sequences or still images is a challenging task due
to problems, such as background clutter, partial occlusion, changes in scale, viewpoint …

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

H Gunes, B Schuller - Image and Vision Computing, 2013 - Elsevier
In the context of affective human behavior analysis, we use the term continuous input to refer
to naturalistic settings where explicit or implicit input from the subject is continuously …

Annotation and processing of continuous emotional attributes: Challenges and opportunities

A Metallinou, S Narayanan - 2013 10th IEEE international …, 2013 - ieeexplore.ieee.org
Human emotional and cognitive states evolve with variable intensity and clarity through the
course of social interactions and experiences, and they are continuously influenced by a …

Human movement datasets: An interdisciplinary scoping review

T Olugbade, M Bieńkiewicz, G Barbareschi… - ACM Computing …, 2022 - dl.acm.org
Movement dataset reviews exist but are limited in coverage, both in terms of size and
research discipline. While topic-specific reviews clearly have their merit, it is critical to have a …

Correcting time-continuous emotional labels by modeling the reaction lag of evaluators

S Mariooryad, C Busso - IEEE Transactions on Affective …, 2014 - ieeexplore.ieee.org
An appealing scheme to characterize expressive behaviors is the use of emotional
dimensions such as activation (calm versus active) and valence (negative versus positive) …

Tracking continuous emotional trends of participants during affective dyadic interactions using body language and speech information

A Metallinou, A Katsamanis, S Narayanan - Image and Vision Computing, 2013 - Elsevier
We address the problem of tracking continuous levels of a participant's activation, valence
and dominance during the course of affective dyadic interactions, where participants may be …

General and interval type-2 fuzzy face-space approach to emotion recognition

A Halder, A Konar, R Mandal… - … on Systems, Man …, 2013 - ieeexplore.ieee.org
Facial expressions of a person representing similar emotion are not always unique.
Naturally, the facial features of a subject taken from different instances of the same emotion …

A computational study of expressive facial dynamics in children with autism

T Guha, Z Yang, RB Grossman… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
Several studies have established that facial expressions of children with autism are often
perceived as atypical, awkward or less engaging by typical adult observers. Despite this …

The USC CreativeIT database of multimodal dyadic interactions: From speech and full body motion capture to continuous emotional annotations

A Metallinou, Z Yang, C Lee, C Busso… - Language resources …, 2016 - Springer
Improvised acting is a viable technique to study expressive human communication and to
shed light into actors' creativity. The USC CreativeIT database provides a novel, freely …