[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 …
Affect detection: An interdisciplinary review of models, methods, and their applications
This survey describes recent progress in the field of Affective Computing (AC), with a focus
on affect detection. Although many AC researchers have traditionally attempted to remain …
on affect detection. Although many AC researchers have traditionally attempted to remain …
Deep affect prediction in-the-wild: Aff-wild database and challenge, deep architectures, and beyond
Automatic understanding of human affect using visual signals is of great importance in
everyday human–machine interactions. Appraising human emotional states, behaviors and …
everyday human–machine interactions. Appraising human emotional states, behaviors and …
Aff-wild: valence and arousal'In-the-Wild'challenge
Abstract The Affect-in-the-Wild (Aff-Wild) Challenge proposes a new comprehensive
benchmark for assessing the performance of facial affect/behaviour analysis …
benchmark for assessing the performance of facial affect/behaviour analysis …
Deep multi-path convolutional neural network joint with salient region attention for facial expression recognition
Abstract Facial Expression Recognition (FER) has long been a challenging task in the field
of computer vision. In this paper, we present a novel model, named Deep Attentive Multi …
of computer vision. In this paper, we present a novel model, named Deep Attentive Multi …
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 …
imigue: An identity-free video dataset for micro-gesture understanding and emotion analysis
We introduce a new dataset for the emotional artificial intelligence research: identity-free
video dataset for micro-gesture understanding and emotion analysis (iMiGUE). Different …
video dataset for micro-gesture understanding and emotion analysis (iMiGUE). Different …
Do deep neural networks learn facial action units when doing expression recognition?
Despite being the appearance-based classifier of choice in recent years, relatively few
works have examined how much convolutional neural networks (CNNs) can improve …
works have examined how much convolutional neural networks (CNNs) can improve …
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 …
Facial expression recognition using hierarchical features with deep comprehensive multipatches aggregation convolutional neural networks
Facial expression recognition (FER) has long been a challenging task in computer vision. In
this paper, we propose a novel method, named deep comprehensive multipatches …
this paper, we propose a novel method, named deep comprehensive multipatches …