A review of affective computing: From unimodal analysis to multimodal fusion
Affective computing is an emerging interdisciplinary research field bringing together
researchers and practitioners from various fields, ranging from artificial intelligence, natural …
researchers and practitioners from various fields, ranging from artificial intelligence, natural …
Survey on rgb, 3d, thermal, and multimodal approaches for facial expression recognition: History, trends, and affect-related applications
CA Corneanu, MO Simón, JF Cohn… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
Facial expressions are an important way through which humans interact socially. Building a
system capable of automatically recognizing facial expressions from images and video has …
system capable of automatically recognizing facial expressions from images and video has …
Facial expression analysis with AFFDEX and FACET: A validation study
S Stöckli, M Schulte-Mecklenbeck, S Borer… - Behavior research …, 2018 - Springer
The goal of this study was to validate AFFDEX and FACET, two algorithms classifying
emotions from facial expressions, in iMotions's software suite. In Study 1, pictures of …
emotions from facial expressions, in iMotions's software suite. In Study 1, pictures of …
The faces of engagement: Automatic recognition of student engagementfrom facial expressions
Student engagement is a key concept in contemporary education, where it is valued as a
goal in its own right. In this paper we explore approaches for automatic recognition of …
goal in its own right. In this paper we explore approaches for automatic recognition of …
Deep region and multi-label learning for facial action unit detection
Region learning (RL) and multi-label learning (ML) have recently attracted increasing
attentions in the field of facial Action Unit (AU) detection. Knowing that AUs are active on …
attentions in the field of facial Action Unit (AU) detection. Knowing that AUs are active on …
The extended cohn-kanade dataset (ck+): A complete dataset for action unit and emotion-specified expression
In 2000, the Cohn-Kanade (CK) database was released for the purpose of promoting
research into automatically detecting individual facial expressions. Since then, the CK …
research into automatically detecting individual facial expressions. Since then, the CK …
[HTML][HTML] A review of verbal and non-verbal human–robot interactive communication
N Mavridis - Robotics and Autonomous Systems, 2015 - Elsevier
In this paper, an overview of human–robot interactive communication is presented, covering
verbal as well as non-verbal aspects. Following a historical introduction, and motivation …
verbal as well as non-verbal aspects. Following a historical introduction, and motivation …
Frame attention networks for facial expression recognition in videos
The video-based facial expression recognition aims to classify a given video into several
basic emotions. How to integrate facial features of individual frames is crucial for this task. In …
basic emotions. How to integrate facial features of individual frames is crucial for this task. In …
Automated detection of engagement using video-based estimation of facial expressions and heart rate
We explored how computer vision techniques can be used to detect engagement while
students (N= 22) completed a structured writing activity (draft-feedback-review) similar to …
students (N= 22) completed a structured writing activity (draft-feedback-review) similar to …
Learning multiscale active facial patches for expression analysis
In this paper, we present a new idea to analyze facial expression by exploring some
common and specific information among different expressions. Inspired by the observation …
common and specific information among different expressions. Inspired by the observation …