Emotion recognition from physiological signal analysis: A review

M Egger, M Ley, S Hanke - Electronic Notes in Theoretical Computer …, 2019 - Elsevier
Human computer interaction is increasingly utilized in smart home, industry 4.0 and
personal health. Communication between human and computer can benefit by a flawless …

A review of affective computing: From unimodal analysis to multimodal fusion

S Poria, E Cambria, R Bajpai, A Hussain - Information fusion, 2017 - Elsevier
Affective computing is an emerging interdisciplinary research field bringing together
researchers and practitioners from various fields, ranging from artificial intelligence, natural …

Context-dependent sentiment analysis in user-generated videos

S Poria, E Cambria, D Hazarika… - Proceedings of the …, 2017 - aclanthology.org
Multimodal sentiment analysis is a developing area of research, which involves the
identification of sentiments in videos. Current research considers utterances as independent …

Emotion and sentiment analysis from Twitter text

K Sailunaz, R Alhajj - Journal of computational science, 2019 - Elsevier
Online social networks have emerged as new platform that provide an arena for people to
share their views and perspectives on different issues and subjects with their friends, family …

Survey on emotional body gesture recognition

F Noroozi, CA Corneanu, D Kamińska… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
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 …

Multimodal sentiment analysis using hierarchical fusion with context modeling

N Majumder, D Hazarika, A Gelbukh, E Cambria… - Knowledge-based …, 2018 - Elsevier
Multimodal sentiment analysis is a very actively growing field of research. A promising area
of opportunity in this field is to improve the multimodal fusion mechanism. We present a …

Survey on rgb, 3d, thermal, and multimodal approaches for facial expression recognition: History, trends, and affect-related applications

CA Corneanu, MO Simón, JF Cohn… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
Facial expressions are an important way through which humans interact socially. Building a
system capable of automatically recognizing facial expressions from images and video has …

A review and meta-analysis of multimodal affect detection systems

SK D'mello, J Kory - ACM computing surveys (CSUR), 2015 - dl.acm.org
Affect detection is an important pattern recognition problem that has inspired researchers
from several areas. The field is in need of a systematic review due to the recent influx of …

Emotion detection from text and speech: a survey

K Sailunaz, M Dhaliwal, J Rokne, R Alhajj - Social Network Analysis and …, 2018 - Springer
Emotion recognition has emerged as an important research area which may reveal some
valuable input to a variety of purposes. People express their emotions directly or indirectly …

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 …