Related references
Note: Only part of the references are listed.Weakly-Supervised Learning for Fine-Grained Emotion Recognition Using Physiological Signals
Tianyi Zhang et al.
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING (2023)
Semi-Supervised Cross-Subject Emotion Recognition Based on Stacked Denoising Autoencoder Architecture Using a Fusion of Multi-Modal Physiological Signals
Junhai Luo et al.
ENTROPY (2022)
Emotion Recognition in Conversations Using Brain and Physiological Signals
Nastaran Saffaryazdi et al.
IUI'22: 27TH INTERNATIONAL CONFERENCE ON INTELLIGENT USER INTERFACES (2022)
Privacy Aware Affective State Recognition From Visual Data
M. Sami Zitouni et al.
IEEE ACCESS (2022)
SigRep: Toward Robust Wearable Emotion Recognition With Contrastive Representation Learning
Vipula Dissanayake et al.
IEEE ACCESS (2022)
WB-KNN for emotion recognition from physiological signals
Weilun Xie et al.
OPTOELECTRONICS LETTERS (2021)
Feature Extraction and Selection for Emotion Recognition from Electrodermal Activity
Jainendra Shukla et al.
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING (2021)
Multi-modal emotion recognition using recurrence plots and transfer learning on physiological signals
Rayan Elalamy et al.
2021 9TH INTERNATIONAL CONFERENCE ON AFFECTIVE COMPUTING AND INTELLIGENT INTERACTION (ACII) (2021)
Arousal-Valence Classification from Peripheral Physiological Signals Using Long Short-Term Memory Networks
M. Sami Zitouni et al.
2021 43RD ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE & BIOLOGY SOCIETY (EMBC) (2021)
AMIGOS: A Dataset for Affect, Personality and Mood Research on Individuals and Groups
Juan Abdon Miranda-Correa et al.
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING (2021)
Investigating the impact of data normalization on classification performance
Dalwinder Singh et al.
APPLIED SOFT COMPUTING (2020)
Emotion Recognition from Multimodal Physiological Signals for Emotion Aware Healthcare Systems
Deger Ayata et al.
JOURNAL OF MEDICAL AND BIOLOGICAL ENGINEERING (2020)
Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review
Jianhua Zhang et al.
INFORMATION FUSION (2020)
Differences between young and older adults in physiological and subjective responses to emotion induction using films
Luz Fernandez-Aguilar et al.
SCIENTIFIC REPORTS (2020)
EEG-Based Emotion Classification Using Spiking Neural Networks
Yuling Luo et al.
IEEE ACCESS (2020)
Emotions Recognition Using EEG Signals: A Survey
Soraia M. Alarcao et al.
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING (2019)
Emotion Recognition from Physiological Signal Analysis: A Review
Egger Maria et al.
ELECTRONIC NOTES IN THEORETICAL COMPUTER SCIENCE (2019)
A Review, Current Challenges, and Future Possibilities on Emotion Recognition Using Machine Learning and Physiological Signals
Patricia J. Bota et al.
IEEE ACCESS (2019)
Cortical correlations in wavelet domain for estimation of emotional dysfunctions
Serap Aydin et al.
NEURAL COMPUTING & APPLICATIONS (2018)
Comparison of hemispheric asymmetry measurements for emotional recordings from controls
Serap Aydin et al.
NEURAL COMPUTING & APPLICATIONS (2018)
Classification of Emotional Arousal During Multimedia Exposure
Adam Anderson et al.
10TH ACM INTERNATIONAL CONFERENCE ON PERVASIVE TECHNOLOGIES RELATED TO ASSISTIVE ENVIRONMENTS (PETRA 2017) (2017)
A Multimodal Database for Affect Recognition and Implicit Tagging
Mohammad Soleymani et al.
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING (2012)
ECG Pattern Analysis for Emotion Detection
Foteini Agrafioti et al.
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING (2012)
The Role of Nonlinear Dynamics in Affective Valence and Arousal Recognition
Gaetano Valenza et al.
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING (2012)
DEAP: A Database for Emotion Analysis Using Physiological Signals
Sander Koelstra et al.
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING (2012)
A Novel Emotion Elicitation Index Using Frontal Brain Asymmetry for Enhanced EEG-Based Emotion Recognition
Panagiotis C. Petrantonakis et al.
IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE (2011)
On the Classification of Emotional Biosignals Evoked While Viewing Affective Pictures: An Integrated Data-Mining-Based Approach for Healthcare Applications
Christos A. Frantzidis et al.
IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE (2010)
Emotion Recognition from Brain Signals Using Hybrid Adaptive Filtering and Higher Order Crossings Analysis
Panagiotis C. Petrantonakis et al.
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING (2010)
Older is colder: Temperature range and variation in older people
IH Gomolin et al.
JOURNAL OF THE AMERICAN GERIATRICS SOCIETY (2005)
Share Paper
