Emotion recognition in EEG signals using deep learning methods: A review

M Jafari, A Shoeibi, M Khodatars… - Computers in Biology …, 2023 - Elsevier
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 …

Affect detection: An interdisciplinary review of models, methods, and their applications

RA Calvo, S D'Mello - IEEE Transactions on affective computing, 2010 - ieeexplore.ieee.org
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 …

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 …

Emotion based music recommendation system using wearable physiological sensors

D Ayata, Y Yaslan, ME Kamasak - IEEE transactions on …, 2018 - ieeexplore.ieee.org
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 …

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 …

A survey of affect recognition methods: audio, visual and spontaneous expressions

Z Zeng, M Pantic, GI Roisman, TS Huang - Proceedings of the 9th …, 2007 - dl.acm.org
Automated analysis of human affective behavior has attracted increasing attention from
researchers in psychology, computer science, linguistics, neuroscience, and related …

Robust multimodal emotion recognition from conversation with transformer-based crossmodality fusion

B Xie, M Sidulova, CH Park - Sensors, 2021 - mdpi.com
Decades of scientific research have been conducted on developing and evaluating methods
for automated emotion recognition. With exponentially growing technology, there is a wide …

Multimodal human–computer interaction: A survey

A Jaimes, N Sebe - Computer vision and image understanding, 2007 - Elsevier
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 …

Artificial emotional intelligence in socially assistive robots for older adults: a pilot study

H Abdollahi, MH Mahoor, R Zandie… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
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 …

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 …