EEG-based classification of emotions using empirical mode decomposition and autoregressive model
Published 2018 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
EEG-based classification of emotions using empirical mode decomposition and autoregressive model
Authors
Keywords
EEG signal, Emotion recognition, Empirical mode decomposition, Autoregressive model
Journal
MULTIMEDIA TOOLS AND APPLICATIONS
Volume -, Issue -, Pages -
Publisher
Springer Nature
Online
2018-03-21
DOI
10.1007/s11042-018-5885-9
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Two-Stream 3-D convNet Fusion for Action Recognition in Videos With Arbitrary Size and Length
- (2018) Xuanhan Wang et al. IEEE TRANSACTIONS ON MULTIMEDIA
- Emotions Recognition Using EEG Signals: A Survey
- (2017) Soraia M. Alarcao et al. IEEE Transactions on Affective Computing
- Multiview Cauchy Estimator Feature Embedding for Depth and Inertial Sensor-Based Human Action Recognition
- (2017) Yanan Guo et al. IEEE Transactions on Systems Man Cybernetics-Systems
- Discrimination and classification of focal and non-focal EEG signals using entropy-based features in the EMD-DWT domain
- (2016) Anindya Bijoy Das et al. Biomedical Signal Processing and Control
- Improving BCI-based emotion recognition by combining EEG feature selection and kernel classifiers
- (2016) John Atkinson et al. EXPERT SYSTEMS WITH APPLICATIONS
- Person Re-Identification by Dual-Regularized KISS Metric Learning
- (2016) Dapeng Tao et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Optimized Graph Learning Using Partial Tags and Multiple Features for Image and Video Annotation
- (2016) Jingkuan Song et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Wavelet-based emotion recognition system using EEG signal
- (2016) Zeynab Mohammadi et al. NEURAL COMPUTING & APPLICATIONS
- Subject-Independent Odor Pleasantness Classification Using Brain and Peripheral Signals
- (2016) Eleni Kroupi et al. IEEE Transactions on Affective Computing
- Analysis of EEG Signals and Facial Expressions for Continuous Emotion Detection
- (2016) Mohammad Soleymani et al. IEEE Transactions on Affective Computing
- Electroencephalogram-based emotion assessment system using ontology and data mining techniques
- (2015) Jing Chen et al. APPLIED SOFT COMPUTING
- Learning in high-dimensional multimedia data: the state of the art
- (2015) Lianli Gao et al. MULTIMEDIA SYSTEMS
- Emotion recognition from mid-level features
- (2015) David Sanchez-Mendoza et al. PATTERN RECOGNITION LETTERS
- Semi-Supervised Multitask Learning for Scene Recognition
- (2015) Xiaoqiang Lu et al. IEEE Transactions on Cybernetics
- EEG-based emotion estimation using Bayesian weighted-log-posterior function and perceptron convergence algorithm
- (2013) Hyun Joong Yoon et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Feature extraction and recognition of ictal EEG using EMD and SVM
- (2013) Shufang Li et al. COMPUTERS IN BIOLOGY AND MEDICINE
- LIBSVM
- (2012) Chih-Chung Chang et al. ACM Transactions on Intelligent Systems and Technology
- A Novel Emotion Elicitation Index Using Frontal Brain Asymmetry for Enhanced EEG-Based Emotion Recognition
- (2011) P. C. Petrantonakis et al. IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE
- DEAP: A Database for Emotion Analysis ;Using Physiological Signals
- (2011) S. Koelstra et al. IEEE Transactions on Affective Computing
- EEG-Based Emotion Recognition in Music Listening
- (2010) Yuan-Pin Lin et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Event-related beta oscillations are affected by emotional eliciting stimuli
- (2010) Bahar Güntekin et al. NEUROSCIENCE LETTERS
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started