Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review
In recent years, the rapid advances in machine learning (ML) and information fusion has
made it possible to endow machines/computers with the ability of emotion understanding …
made it possible to endow machines/computers with the ability of emotion understanding …
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 …
Emotions recognition using EEG signals: A survey
SM Alarcao, MJ Fonseca - IEEE transactions on affective …, 2017 - ieeexplore.ieee.org
Emotions have an important role in daily life, not only in human interaction, but also in
decision-making processes, and in the perception of the world around us. Due to the recent …
decision-making processes, and in the perception of the world around us. Due to the recent …
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 …
Exploring EEG features in cross-subject emotion recognition
Recognizing cross-subject emotions based on brain imaging data, eg, EEG, has always
been difficult due to the poor generalizability of features across subjects. Thus …
been difficult due to the poor generalizability of features across subjects. Thus …
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 …
from several areas. The field is in need of a systematic review due to the recent influx of …
Wearable-based affect recognition—A review
Affect recognition is an interdisciplinary research field bringing together researchers from
natural and social sciences. Affect recognition research aims to detect the affective state of a …
natural and social sciences. Affect recognition research aims to detect the affective state of a …
Correlation analysis to identify the effective data in machine learning: Prediction of depressive disorder and emotion states
S Kumar, I Chong - International journal of environmental research and …, 2018 - mdpi.com
Correlation analysis is an extensively used technique that identifies interesting relationships
in data. These relationships help us realize the relevance of attributes with respect to the …
in data. These relationships help us realize the relevance of attributes with respect to the …
A survey of affective brain computer interfaces: principles, state-of-the-art, and challenges
Affective states, moods and emotions, are an integral part of human nature: they shape our
thoughts, govern the behavior of the individual, and influence our interpersonal …
thoughts, govern the behavior of the individual, and influence our interpersonal …
Emotion representation, analysis and synthesis in continuous space: A survey
Despite major advances within the affective computing research field, modelling, analysing,
interpreting and responding to naturalistic human affective behaviour still remains as a …
interpreting and responding to naturalistic human affective behaviour still remains as a …