Emotion recognition in EEG signals using deep learning methods: A review
Emotions are a critical aspect of daily life and serve a crucial role in human decision-making,
planning, reasoning, and other mental states. As a result, they are considered a significant …
planning, reasoning, and other mental states. As a result, they are considered a significant …
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 …
A machine learning model for emotion recognition from physiological signals
JA Domínguez-Jiménez, KC Campo-Landines… - … signal processing and …, 2020 - Elsevier
Emotions are affective states related to physiological responses. This study proposes a
model for recognition of three emotions: amusement, sadness, and neutral from …
model for recognition of three emotions: amusement, sadness, and neutral from …
Emotion based music recommendation system using wearable physiological sensors
Most of the existing music recommendation systems use collaborative or content based
recommendation engines. However, the music choice of a user is not only dependent to the …
recommendation engines. However, the music choice of a user is not only dependent to the …
A survey of machine learning techniques in physiology based mental stress detection systems
SS Panicker, P Gayathri - Biocybernetics and Biomedical Engineering, 2019 - Elsevier
Various automated/semi-automated medical diagnosis systems based on human physiology
have been gaining enormous popularity and importance in recent years. Physiological …
have been gaining enormous popularity and importance in recent years. Physiological …
A survey of affect recognition methods: audio, visual and spontaneous expressions
Automated analysis of human affective behavior has attracted increasing attention from
researchers in psychology, computer science, linguistics, neuroscience, and related …
researchers in psychology, computer science, linguistics, neuroscience, and related …
Robust multimodal emotion recognition from conversation with transformer-based crossmodality fusion
Decades of scientific research have been conducted on developing and evaluating methods
for automated emotion recognition. With exponentially growing technology, there is a wide …
for automated emotion recognition. With exponentially growing technology, there is a wide …
Multimodal human–computer interaction: A survey
In this paper, we review the major approaches to multimodal human–computer interaction,
giving an overview of the field from a computer vision perspective. In particular, we focus on …
giving an overview of the field from a computer vision perspective. In particular, we focus on …
Artificial emotional intelligence in socially assistive robots for older adults: a pilot study
This paper presents our recent research on integrating artificial emotional intelligence in a
social robot (Ryan) and studies the robot's effectiveness in engaging older adults. Ryan is a …
social robot (Ryan) and studies the robot's effectiveness in engaging older adults. Ryan is a …
Audio to body dynamics
E Shlizerman, L Dery, H Schoen… - Proceedings of the …, 2018 - openaccess.thecvf.com
We present a method that gets as input an audio of violin or piano playing, and outputs a
video of skeleton predictions which are further used to animate an avatar. The key idea is to …
video of skeleton predictions which are further used to animate an avatar. The key idea is to …