Human emotion recognition: Review of sensors and methods
Automated emotion recognition (AEE) is an important issue in various fields of activities
which use human emotional reactions as a signal for marketing, technical equipment, or …
which use human emotional reactions as a signal for marketing, technical equipment, or …
Multimodal machine learning: A survey and taxonomy
T Baltrušaitis, C Ahuja… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Our experience of the world is multimodal-we see objects, hear sounds, feel texture, smell
odors, and taste flavors. Modality refers to the way in which something happens or is …
odors, and taste flavors. Modality refers to the way in which something happens or is …
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 …
Emotion recognition for multiple context awareness
Understanding emotion in context is a rising hotspot in the computer vision community.
Existing methods lack reliable context semantics to mitigate uncertainty in expressing …
Existing methods lack reliable context semantics to mitigate uncertainty in expressing …
Multimodal speech emotion recognition using audio and text
Speech emotion recognition is a challenging task, and extensive reliance has been placed
on models that use audio features in building well-performing classifiers. In this paper, we …
on models that use audio features in building well-performing classifiers. In this paper, we …
[HTML][HTML] Conversational memory network for emotion recognition in dyadic dialogue videos
Emotion recognition in conversations is crucial for the development of empathetic machines.
Present methods mostly ignore the role of inter-speaker dependency relations while …
Present methods mostly ignore the role of inter-speaker dependency relations while …
Survey on emotional body gesture recognition
Automatic emotion recognition has become a trending research topic in the past decade.
While works based on facial expressions or speech abound, recognizing affect from body …
While works based on facial expressions or speech abound, recognizing affect from body …
Multimodal sentiment analysis with image-text interaction network
More and more users are getting used to posting images and text on social networks to
share their emotions or opinions. Accordingly, multimodal sentiment analysis has become a …
share their emotions or opinions. Accordingly, multimodal sentiment analysis has become a …
A review, current challenges, and future possibilities on emotion recognition using machine learning and physiological signals
The seminal work on Affective Computing in 1995 by Picard set the base for computing that
relates to, arises from, or influences emotions. Affective computing is a multidisciplinary field …
relates to, arises from, or influences emotions. Affective computing is a multidisciplinary field …
Emotion recognition from EEG signal focusing on deep learning and shallow learning techniques
Recently, electroencephalogram-based emotion recognition has become crucial in enabling
the Human-Computer Interaction (HCI) system to become more intelligent. Due to the …
the Human-Computer Interaction (HCI) system to become more intelligent. Due to the …