Journal of Biomedical Science and Engineering

Journal of Biomedical Science and Engineering

ISSN Print: 1937-6871
ISSN Online: 1937-688X
www.scirp.org/journal/jbise
E-mail: jbise@scirp.org
"Classification of human emotion from EEG using discrete wavelet transform"
written by Murugappan Murugappan, Nagarajan Ramachandran, Yaacob Sazali,
published by Journal of Biomedical Science and Engineering, Vol.3 No.4, 2010
has been cited by the following article(s):
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[276] Static and Dynamic Methods for Emotion Recognition from Physiological Signals
2015
[277] Classfication Technique for Human Emotion in Virtual Reality Using Game-based Brain Computer Interface
Thesis, 2015
[278] Classification of emotion from EEG using hybrid radial basis function networks with elitist PSO
2015
[279] Official Publication of Swami Vivekananda Yoga Anusandhana Samsthana University
2015
[280] An Enhanced Feature Extraction Method and Classification Method of EEG Signals using Artificial Intellig
International Journal of Computer Applications Foundation of Computer Science (FCS), NY, USA, 2015
[281] Emotiv EPOC 측정 DWT 기반 EEG 신호 분석을 통한 동작 이분 분류
2015?? ??????? ???? ? ??????, 2015
[282] Classification Technique for Human Emotion in Virtual Reality Using Game-based Brain Computer Interface
2015
[283] Distinct adoption of k-nearest neighbour and support vector machine in classifying EEG signals of mental tasks.
2015
[284] Analysing Brain Responses to Affective Pictures from Electroencephalogram (EEG)
2015
[285] Como as emoções são processadas no Cérebro: uma análise de EEG
2015
[286] Klasifikasi Emosi Melalui Sinyal EEG yang Dihasilkan Otak dengan Menggunakan Discrete Wavelet Transform dan Backpropagation Artificial Neural …
2015
[287] МЕТОДИ ЧАСТОТНО-ЧАСОВОГО АНАЛІЗУ ЕЛЕКТРОЕНЦЕФАЛОГРАФІЧНИХ СИГНАЛІВ.
ВЕСТНИК ХНТУ, 2014
[288] A Framework for Real-Time Emotion Recognition with an Online EEG-based BCI during Content Browsing
2014
[289] Procesado de señal de EEG para detección del nivel de atención mediante Wavelets
2014
[290] Classification of Electroencephalography Signal Using Statistical Features and Regression Classifier
Thesis, 2014
[291] The Promise of Neurotechnology in Clinical Translational Science
Clinical Psychological Science, 2014
[292] Machine Learning to Identify Neural Correlates of Music and Emotions
Guide to Brain-Computer Music Interfacing. Springer London, 2014
[293] Understanding the relationship between physiological signals and digital game-based learning outcome
Journal of Computers in Education, 2014
[294] 腦電波情緒識別系統之開發研究
臺中科技大學多媒體設計系碩士班學位論文, 2014
[295] Human Emotion Classification from EEG Signals Using Multiwavelet Transform
Medical Biometrics (ICMB), 2014 International Conference on. IEEE, 2014., 2014
[296] Cognitive attention behaviour detection systems using Electroencephalograph (EEG) signals
Research Journal of Pharmacy and Technology, 2014
[297] Classifying Different Emotional States by Means of EEG-Based Functional Connectivity Patterns
PloS one, 2014
[298] Experiments for Emotion Estimation from Biological Signals and Its Application
Transactions on Computational Science XXIII, 2014
[299] Performance enhancement of mental task classification using EEG signal: a study of multivariate feature selection methods
Soft Computing, 2014
[300] The Emotion Recognition System Based on Autoregressive Model and Sequential Forward Feature Selection of Electroencephalogram Signals
Journal of medical signals and sensors, 2014
[301] Recognition of emotional states induced by music videos based on nonlinear feature extraction and SOM classification
Biomedical Engineering (ICBME), 2014 21th Iranian Conference on, 2014
[302] Emotional state classification from EEG data using machine learning approach
Neurocomputing, 2014
[303] Feature Extraction and Selection for Emotion Recognition from EEG
2014
[304] A Design of Memory-based Learning Classifier usign Genteic Strategy for Emotion Classification
COGNITIVE 2014, The Sixth International Conference on Advanced Cognitive Technologies and Applications. 2014., 2014
[305] A Conceptual Framework for Using the Affective Computing Techniques to Evaluate the Outcome of Digital Game-Based Learning
Advanced Technologies, Embedded and Multimedia for Human-centric Computing, 2014
[306] Computing stress-related emotional state via frontal cortex asymmetry to be applied in passive-ssBCI
Biosignals and Biorobotics Conference (2014): Biosignals and Robotics for Better and Safer Living (BRC), 5th ISSNIP-IEEE., 2014
[307] Wavelet Based Feature Extraction Scheme of Electroencephalogram
MCEM Kumar, MSVD Kumar - ijirset.com, 2014
[308] Cognitive Enhancement of Sports Persons Using Multiple Object Tracking
2014
[309] Factor Analysis as the Feature Selection Method in an Emotion Norm Database
Intelligent Information and Database Systems. Springer International Publishing, 2014
[310] An efficient multi modal emotion recognition system: ISAMC
Impact of E-Technology on US (IMPETUS), 2014 International Conference on the. IEEE, 2014
[311] 透過腦機介面技術擷取資料進行認知負荷分類: 應用於服務設計的初步努力
清華大學服務科學研究所學位論文, 2014
[312] 자동 감성 인식을 위한 비교사-교사 분류기의 복합 설계
The Transactions of the Korean Institute of Electrical Engineers, 2014
[313] Emotion Recognition from EEG Signals Using Fractal Dimension And Wavelet Transform
2014
[314] Research on Emotion Recognition using Speech and Physiological Signals
2014
[315] Методы частотно-временного анализа электроэнцефалографических сигналов
2014
[316] Integration of affective computing techniques and soft computing for developing a human affective recognition system for U-learning systems
International Journal of Mobile Learning and Organisation, 2014
[317] Emotional Valence Detection based on a Novel Wavelet Feature Extraction Strategy using EEG Signals.
7th International Conference on Health Informatics, 2014
[318] Combining spectral and fractal features for emotion recognition on Electroencephalographic signals
WSEAS Transactions on Signal Processing , 2014
[319] COMPARANDO TÉCNICAS DE APRENDIZADO DE MÁQUINA PARA CLASSIFICAÇÃO DE SINAIS DE ELETROENCEFALOGRAMA
2014
[320] GA-SVM 을 이용한 뇌파신호의 비선형 및 주파수 집중판별 특징선택
Journal of KISS : Software and Applications, 2013
[321] An improved approximate entropy based epilepsy seizure detection using multi-wavelet and artificial neural networks
International Journal of Biomedical Engineering and Technology, 2013
[322] Recognition of emotions induced by music videos using DT-CWPT
2013
[323] Healthcare System Focusing on Emotional Aspect Using Augmented Reality: Control Breathing Application in Relaxation Service
HCI International 2013 - Posters’ Extended Abstracts, 2013
[324] Common Spatial Pattern Method for Channel Reduction in EEG-Based Emotion Recognition
The Modares Journal of Electrical Engineering, 2013
[325] Physiological Signals and Classification for Happiness, Neural and Surprise Emotions
INTELLI 2013, The Second International Conference on Intelligent Systems and Applications, 2013
[326] Optimal sampling frequency in wavelet-based signal feature extraction using particle swarm optimization
Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE. IEEE, 2013., 2013
[327] Emotional analysis thru EEG signals, to monitor high performance athletes
2013
[328] Classification of human emotions based on multiwavelet transform of EEG signals
Proceedings 2013 AASRI Conference on Intelligent Systems and Control. 2013., 2013
[329] The Emotiv mind: Investigating the accuracy of the Emotiv EPOC in identifying emotions and its use in an Intelligent Tutoring System
T Harrison - cosc.canterbury.ac.nz, 2013
[330] Automatic detection of the wake and stage 1 sleep stages using the EEG sub-epoch approach
Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE, 2013
[331] Extraction of User Preference for Video Stimuli Using EEG-Based User Responses
ETRI Journal, 2013
[332] Emotion Estimation from Biological Signals and Its Application to an Emotional Painting Tool
Cyberworlds (CW), 2013 International Conference on. IEEE, 2013., 2013
[333] Frequency band analysis of electrocardiogram (ECG) signals for human emotional state classification using discrete wavelet transform (DWT)
Journal of Physical Therapy Science, 2013
[334] Emotional brain–computer interfaces
International Journal of Autonomous and Adaptive Communications Systems, 2013
[335] A review on the computational methods for emotional state estimation from the human EEG
Computational and mathematical methods in medicine, 2013
[336] Healthcare system design focusing on emotional aspects using augmented reality—Relaxed service design
Computational Intelligence in Healthcare and e-health (CICARE), 2013 IEEE Symposium on. IEEE, 2013., 2013
[337] Detection of Human stress using Short-Term ECG and HRV signals
Journal of Mechanics in Medicine and Biology, 2013
[338] EEG signal classification for epilepsy seizure detection using improved approximate entropy
International Journal of Public Health Science (IJPHS), 2013
[339] The Design of Feature Selection Classifier based on Physiological Signal for Emotion Detection
Journal of the Institute of Electronics and Information Engineers, 2013
[340] The Non-linear and Frequency Domain Features Selection from EEG Signal using GA-SVM for Attention Classification
2013
[341] The design of Fuzzy C-Means Clustering based neural networks for emotion classification
IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS), 2013 Joint. IEEE, 2013
[342] Feature Selecting Algorithm Devel opment Based on Physiological Signals for Negative Emotion Recognition
2013
[343] Healthcare System Focusing On Emotional Aspects Using Augmented Reality
5th International Congress of IASDR, 2013
[344] ERNN: A biologically plausible feed-forward neural network to discriminate emotion from EEG signal
IEEE Transactions on Neural Networks, 2013
[345] Analysis of emotional processes in EEG signals by multidimensional clustering decomposition using wavelet transform
Workshops Proceedings in the Mexican International Conference on Computer Science , 2013
[346] 감성판별을 위한 생체신호기반 특징선택 분류기 설계
2013
[347] 비선형 반복 패턴과 스펙트럼 분석을 이용한 집중-비집중 분류기의 성능 평가
2013
[348] 비 집중․ 집중 상태에 따른 청각 유발 전위의 반복 정량 분석
2013
[349] 使用情感運算技術評估數位遊戲式學習之成效
2013
[350] 비 집중, 집중 상태에 따른 청각 유발 전위의 반복 정량 분석
2013
[351] COMMON SPATIAL PATTERN METHOD FOR CHANNEL REDUCTION IN EEGBASED EMOTION RECOGNITION
2013
[352] 基於腦波訊號發展注意力辨識系統
2013
[353] Recurrence Quantification Analysis of Auditory Evoked Related Potential in Inattention and Attention
2013
[354] Performance Evaluation of Attention-inattetion Classifiers using Non-linear Recurrence Pattern and Spectrum Analysis
2013
[355] EEG işaretlerindeki göz ve çene hareketi artifaktlarının sınıflandırılması
2012
[356] Emotion Recognition from Facial Expression and Electroencephalogram Signals
Cross-Disciplinary Applications of Artificial Intelligence and Pattern Recognition: Advancing Technologies, 2012
[357] 利用支持向量機及小波轉換進行人腦電波的情緒鑑別
2012
[358] Spectral Analysis of physiological parameters for emotion detection
Image, Signal Processing, and Artificial Vision (STSIVA), 2012 XVII Symposium of. IEEE, 2012
[359] Three Differential Emotions and Classification Using Physiological Signals
2012
[360] Emotion classification based on physiological signals induced by negative emotions: Discriminantion of negative emotions by machine learning algorithm
Networking, Sensing and Control (ICNSC), 2012 9th IEEE International Conference on. IEEE, 2012., 2012
[361] Emotion Recognition through ANS Responses Evoked by Negative Emotions
ACHI 2012, The Fifth International Conference on Advances in Computer-Human Interactions. 2012., 2012
[362] Emotion Recognition by Machine Learning Algorithms using Psychophysiological Signals
Int. J. Eng. Industries, 2012
[363] A study on mental arithmetic task based human stress level classification using discrete wavelet transform
Sustainable Utilization and Development in Engineering and Technology (STUDENT), 2012 IEEE Conference on. IEEE, 2012., 2012
[364] Development of EEG-based stress index
Biomedical Engineering (ICoBE), 2012 International Conference on. IEEE, 2012., 2012
[365] Computational emotion recognition using multimodal physiological signals: Elicited using japanese kanji words
Telecommunications and Signal Processing (TSP), 2012 35th International Conference on. IEEE, 2012
[366] Emotion Recognition using Spatiotemporal Analysis of Electroencephalographic Signals
2012
[367] GPSO versus neural network in facial emotion detection
Industrial Electronics and Applications (ISIEA), 2012 IEEE Symposium on. IEEE, 2012., 2012
[368] Emotion Recognition by Machine Learning Algorithms using Psychophysiological Signals.
2012
[369] Spectral analysis of physiological parameters for consumers' emotion detection
Sistemas & Telemática, 2012
[370] Análisis espectral de parámetros fisiológicos para la detección de emociones
2011
[371] Log power representation of EEG spectral bands for the recognition of emotional states of mind
Information, Communications and Signal Processing (ICICS) 2011 8th International Conference on. IEEE, 2011
[372] Generalizations of the subject-independent feature set for music-induced emotion recognition
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE, 2011
[373] EEG-based stress features using spectral centroids technique and K-nearest neighbor classifier
Computer Modelling and Simulation (UKSim), 2011 UkSim 13th International Conference on. IEEE, 2011., 2011
[374] Measuring academic affective states of students via brainwave signals
Knowledge and Systems Engineering (KSE), 2011 Third International Conference on. IEEE, 2011
[375] Electromyogram signal based human emotion classification using KNN and LDA
System Engineering and Technology (ICSET), 2011 IEEE International Conference on. IEEE, 2011., 2011
[376] Novel methods for stress features identification using EEG signals
International Journal of Simulation: Systems, Science and Technology, 2011
[377] Analysis of Spatio-temporal Relationship of Multiple Energy Spectra of EEG Data for Emotion Recognition
Computer Networks and Intelligent Computing, 2011
[378] Wavelet domain analysis of EEG data for emotion recognition: evaluation of recoursing energy efficiency
SPIE Defense, Security, and Sensing. International Society for Optics and Photonics, 2011., 2011
[379] Electroencephalogram Signals
2011
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