Potential applications of social robots in robot-assisted interventions for social anxiety
Social anxiety disorder or social phobia is a condition characterized by debilitating fear and
avoidance of different social situations. We provide an overview of social anxiety and …
avoidance of different social situations. We provide an overview of social anxiety and …
Spectral representation of behaviour primitives for depression analysis
Depression is a serious mental disorder affecting millions of people all over the world.
Traditional clinical diagnosis methods are subjective, complicated and require extensive …
Traditional clinical diagnosis methods are subjective, complicated and require extensive …
Learning person-specific cognition from facial reactions for automatic personality recognition
This article proposes to recognise the true (self-reported) personality traits from the target
subject's cognition simulated from facial reactions. This approach builds on the following two …
subject's cognition simulated from facial reactions. This approach builds on the following two …
Is chatgpt a good personality recognizer? a preliminary study
In recent years, personality has been regarded as a valuable personal factor being
incorporated into numerous tasks such as sentiment analysis and product recommendation …
incorporated into numerous tasks such as sentiment analysis and product recommendation …
Self-supervised learning of person-specific facial dynamics for automatic personality recognition
This article aims to solve two important issues that frequently occur in existing automatic
personality analysis systems: 1. Attempting to use very short video segments or even single …
personality analysis systems: 1. Attempting to use very short video segments or even single …
LQGDNet: A local quaternion and global deep network for facial depression recognition
Recent visual-based depression recognition methods mostly use hand-crafted features with
information lost in color channels, or deep network features with a limited performance from …
information lost in color channels, or deep network features with a limited performance from …
Spatial-temporal graph-based AU relationship learning for facial action unit detection
This paper presents our Facial Action Units (AUs) detection submission to the fifth Affective
Behavior Analysis in-the-wild Competition (ABAW). Our approach consists of three main …
Behavior Analysis in-the-wild Competition (ABAW). Our approach consists of three main …
Spatio-temporal au relational graph representation learning for facial action units detection
This paper presents our Facial Action Units (AUs) detection submission to the fifth Affective
Behavior Analysis in-the-wild Competition (ABAW). Our approach consists of three main …
Behavior Analysis in-the-wild Competition (ABAW). Our approach consists of three main …
Emopain challenge 2020: Multimodal pain evaluation from facial and bodily expressions
The EmoPain 2020 Challenge is the first international competition aimed at creating a
uniform platform for the comparison of multi-modal machine learning and multimedia …
uniform platform for the comparison of multi-modal machine learning and multimedia …
An open-source benchmark of deep learning models for audio-visual apparent and self-reported personality recognition
Personality determines a wide variety of human daily and working behaviours, and is crucial
for understanding human internal and external states. In recent years, a large number of …
for understanding human internal and external states. In recent years, a large number of …