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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[143] Emotion Classification from EEG Signals in Convolutional Neural Networks
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[219] Mental effort detection using EEG data in E-learning contexts
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[224] Emotion detection from EEG recordings based on supervised and unsupervised dimension reduction
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[227] Musicality of Human Brain Through Fractal Analytics
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[229] A Machine Learning Approach to EEG-Based Emotion Recognition
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[246] A Novel Two-tier Classifier based on K-Nearest Neighbour and Neural Network Classifier for Emotion Recognition using EEG Signals
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[247] Neural-network based Computerized Emotion Analysis using Multiple Biological Signals
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[248] DEVELOPMENT OF A MULTISENSORIAL SYSTEM FOR EMOTION RECOGNITION
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[249] EEG based emotion monitoring using wavelet and learning vector quantization
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[250] Exploring children's preferences and perceptions of picture book illustrations using wearable EEG headsets
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[251] EEG-based emotion recognition using empirical wavelet transform
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[252] A Comprehensive Performance Study of Classification of Emotions using EEG Centroid Data.
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[263] Novel Algorithm for Measuring the Complexity of Electroencephalographic Signals in Emotion Recognition
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INTERNATIONAL JOURNAL OF ENGINEERING REVIEW(IJER), 2017
[273] Selection of stable features for modeling 4-D affective space from EEG recording
2017
[274] Towards emotion recognition for virtual environments: an evaluation of eeg features on benchmark dataset
Personal and Ubiquitous Computing, 2017
[275] Neuromuscular Fatigue Analysis of Soldiers Using DWT Based EMG and EEG Data Fusion During Load Carriage
Intelligent Information and Database Systems, 2017
[276] Development of Filtered Bispectrum for EEG Signal Feature Extraction in Automatic Emotion Recognition Using Artificial Neural Networks
Algorithms, 2017
[277] CLASSIFICATION OF EMOTIONS USING CONVOLUTIONAL NEURAL NETWORKS–AN EEG STUDY
2017
[278] HUMAN EMOTION ESTIMATION FROM EEG AND FACE USING STATISTICAL FEATURES AND SVM
2017
[279] Emotion Classification from EEG Signals Using Time-Frequency-DWT Features and ANN
2017
[280] Emergent Perception and Video Games that Listen: Applying Sonic Virtuality for Creative and Intelligent Virtual Agent Behaviours
2017
[281] Emotion recognition based on EEG features in movie clips with channel selection
Brain Informatics, 2017
[282] Biometric Authentication of PC by Using EEG Signals
International Journal of Emerging Technology in Computer Science & Electronics (IJETCSE), 2017
[283] Evolutionary computation algorithms for feature selection of EEG-based emotion recognition using mobile sensors
Expert Systems with Applications, 2017
[284] Deep learning for EEG-Based preference classification
AIP Conference Proceedings, 2017
[285] A mother wavelet selection study for vertical ground reaction force signals
2017
[286] ARTIFICIAL NEURAL NETWORK BASED BRAIN SIGNAL CLASSIFICATION OF GUSTATORY STIMULI IN FPGA
2017
[287] Development Of a Multisensorial System For Emotions Recognition
2017
[288] Design of Tri-channel Active Electrode EEG Device for Classification of Motor Imagery Brainwaves
Proceedings of IOE Graduate Conference, 2017
[289] Brain Mapping Based Stress Identification
2017
[290] Enhancing Learning Experience using Cognitive Modeling in Real Time
2017
[291] Real Time Classification of Emotions to Control Stage Lighting During Dance Performance
2016
[292] Feature Extraction of Electroencephalogram Signal Generated from Writing in Dyslexic Children using Daubechies Wavelet Transform
2016
[293] STUDY OF THE QUALITY OF LINEAR FREQUENCY CEPSTRAL COEFFICIENTS FOR AUTOMATED RECOGNITION OF NEGATIVE EMOTIONAL STATES …
2016
[294] Klasifikasi Sinyal Eeg Menggunakan Deep Neural Network
2016
[295] Klasifikasi Sinyal Eeg Menggunakan Deep Neural Network Dengan Stacked Denoising Autoencoder
2016
[296] Evaluation of Feature Extraction Techniques for an Internet of Things Electroencephalogram
2016
[297] Clustering Algorithm for Time Series Based on Peak Interval
2016
[298] Employing subjects' information as privileged information for emotion recognition from EEG signals
2016
[299] STUDY OF THE QUALITY OF LINEAR FREQUENCY CEPSTRAL COEFFICIENTS FOR AUTOMATED RECOGNITION OF NEGATIVE EMOTIONAL STATES FROM …
2016
[300] Human emotion detection via brain waves study by using electroencephalogram (EEG)
2016
[301] EEG based detection of epilepsy by a mixed design approach
2016
[302] Feature Extraction for Emotion Recognition and Modelling Using Neurophysiological Data
2016
[303] Robust Modeling of Continuous 4-D Affective Space from EEG Recording
2016
[304] Electroencephalogram electrode localization in the support vector machine classification of dyslexic children
2016
[305] نقش تفاوت‌های جنسیتی در پاسخ به موسیقی‌های احساسی مختلف براساس تحلیل جامع ویژگی‌های سیگنال‌های خودمختار‎
Arak Medical University Journal, 2016
[306] Statistical feature analysis for EEG baseline classification: Eyes Open vs Eyes Closed
2016
[307] Distribution Based EEG Baseline Classification
Computer Vision, Graphics, and Image Processing, 2016
[308] Towards emotional state estimation model for emotion recognition from human brain sensors
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[309] Identifying Stable Patterns over Time for Emotion Recognition from EEG
arXiv preprint arXiv:1601.02197, 2016
[310] Effect of Sudarshan Kriya (meditation) on gamma, alpha, and theta rhythm during working memory task
International Journal of Yoga, 2016
[311] Wavelet-based study of valence–arousal model of emotions on EEG signals with LabVIEW
Brain Informatics, 2016
[312] Multimodal Emotion Recognition Using Multimodal Deep Learning
2016
[313] Getting into Brain Waves: History and Resources
2016
[314] Playing Action Video Games a Key to Cognitive Enhancement
Procedia Computer Science, 2016
[315] An approach to emotion recognition in single-channel EEG signals: a mother child interaction
Journal of Physics: Conference Series, 2016
[316] Recurrence Quantification Analysis and Neural Networks for Emotional EEG Classification
Applied Medical Informatics, 2016
[317] DYNAMICAL ANALYSIS OF EMOTIONAL STATES FROM ELECTROENCEPHALOGRAM SIGNALS
Biomedical Engineering: Applications, Basis and Communications, 2016
[318] A novel EEG-based emotion recognition approach for e-healthcare applications
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016
[319] A novel feature extraction method based on late positive potential for emotion recognition in human brain signal patterns
Computers & Electrical Engineering, 2016
[320] AN INNOVATIVE APPROACH TO CLASSIFICATION OF EMOTIONS IN EEG SIGNAL FOR THE USE IN NEUROMARKETING RESEARCH
Biomedical Engineering, 2016
[321] Multi-level assessment model for wellness service based on human mental stress level
Multimedia Tools and Applications, 2016
[322] Continuous music-emotion recognition based on electroencephalogram
2016
[323] Emergent Perception and Video Games that Listen: Applying Sonic Virtuality for Creative and Intelligent NPC Behaviours
2016
[324] Towards An Unified Replication Repository for EEG-based Emotion Classification
2016
[325] COMPARING WINDOWING METHODS ON FINITE IMPULSE RESPONSE (FIR) FILTER ALGORITHM IN ELECTROENCEPHALOGRAPHY (EEG) DATA PROCESSING
Journal of Theoretical and Applied Information Technology, 2016
[326] Wavelet Entropy as a measure of Depth of Anaesthesia
2016
[327] Performance Evaluation of Empirical Mode Decomposition Algorithms for Mental Task Classification
2016
[328] Automated estimation of human emotion from EEG using statistical features and SVM
2016
[329] Emotion recognition from EEG signal using ISO-FLANN with firefly algorithm
2016
[330] Visualizing the brain connectivity during negative emotion processing–An EEG study
Front. Hum. Neurosci. Conference Abstract: SAN2016 Meeting, 2016
[331] Affective Computing in Games
Entertainment Computing and Serious Games, 2016
[332] Towards human brain signal preprocessing and artifact rejection methods
Int'l Conf. Biomedical Engineering and Sciences, 2016
[333] An approach to EEG-based emotion recognition using combined feature extraction method
Neuroscience Letters, 2016
[334] Emotion detection from EEG recordings
2016
[335] UM SISTEMA DE RECOMENDAC AO INTELIGENTE BASEADO EM VÍDIO AULAS PARA EDUCAC AO A DISTˆANCIA
Thesis, 2016
[336] Quantifying Cognitive Workload in Simulated Flight Using Passive, Dry EEG Measurements
2016
[337] Wavelet algorithm for the identification of P300 ERP component
2016
[338] Fusion Framework for Emotional Electrocardiogram and Galvanic Skin Response Recognition: Applying Wavelet Transform
2016
[339] Application of deep belief networks in eeg-based dynamic music-emotion recognition
2016
[340] Human speech sentiments recognition: A data mining approach for categorization of speech
2016
[341] From Sinewaves to Physiologically-Adaptive Soundscapes: The Evolving Relationship Between Sound and Emotion in Video Games
Emotion in Games, 2016
[342] The role of gender differences in response to emotional music: a comprehensive analysis of autonomic signal characteristics
Arak Medical University Journal, 2016
[343] Wavelet Entropy based classification of depth of anesthesia
2016
[344] EEG-based emotion recognition approach for e-healthcare applications
2016
[345] Correlation between videogame mechanics and executive functions through EEG analysis
Journal of Biomedical Informatics, 2016
[346] Fuzzy clustering-based feature extraction method for mental task classification
Brain Informatics, 2016
[347] Incorporación de nuevos escenarios de uso en el proceso de diseño (SIPD): propuesta metodológica y valoración de la percepción de los usuarios
2016
[348] Visualization of Brain Connectivity during Emotion induction
Front. Neuroinform. Conference Abstract: Neuroinformatics 2016, 2016
[349] Emotion recognition using multimodal deep learning
International conference on neural information …, 2016
[350] Study of the quality of Linear frequency Cepstral coefficients for automated recognition of negative emotional states from EEG signals
2016
[351] Investigating the Prerequisites for a robust Neurotutor
Dissertation, 2016
[352] Robust Modeling of Continuous Four Dimensional Affective Space from EEG Recording.
2016
[353] Dimensional analysis of emotional trajectories before and after disordered eating behaviors in a sample of women with bulimia nervosa
2016
[354] Discrete wavelet packet transform for electroencephalogram based valence-arousal emotion recognition
2015
[355] Analysing Brain Responses to Affective Pictures from Electroencephalogram (EEG)
2015
[356] Como as emoções são processadas no Cérebro: uma análise de EEG
2015
[357] Klasifikasi Emosi Melalui Sinyal EEG yang Dihasilkan Otak dengan Menggunakan Discrete Wavelet Transform dan Backpropagation Artificial Neural …
2015
[358] Classification of emotions based on ERP feature extraction
2015
[359] Klasifikasi Emosi Melalui Sinyal EEG yang Dihasilkan Otak dengan Menggunakan Discrete Wavelet Transform dan Backpropagation Artificial Neural Network
2015
[360] A classification on brain wave patterns for Parkinson's patients using WEKA
Pattern Analysis, Intelligent Security and the Internet of Things, 2015
[361] Feature Reduction Using Genetic Algorithm for Cognitive Man-Machine Communication
International Journal of Software Science and Computational Intelligence (IJSSCI), 2015
[362] EEG Assessment of Surprise Effects in Serious Games
2015
[363] Approximate Entropy and Wavelet Entropy based Depth of Anesthesia monitoring
2015 International Conference on Control Communication & Computing India (ICCC), 2015
[364] An Empirical Study on Interest Point Ranking and Valence-Arousal Tags of EEG Data
2015 8th International Symposium on Computational Intelligence and Design (ISCID), 2015
[365] Selection of Symlets wavelet function order for EEG signal feature extraction in children with dyslexia
2015 IEEE Student Symposium in Biomedical Engineering & Sciences (ISSBES), 2015
[366] 在線上學習環境下以腦波資料偵測認知負荷之研究
台湾清華大學服務科學研究所學位論文, 2015
[367] 视觉刺激情感变化 β 波同步分析
大连交通大学学报, 2015
[368] Neural avkodning genom multivariat mönsteranalys av elektroencefalografisk data
2015
[369] Emotion Recognition using ECG Signals with Local Pattern Description Methods
International Journal of Affective Engineering, 2015
[370] EEG-based neurocinematics: challenges and prospects
Brain-Computer Interfaces, 2015
[371] EVALUATION OF CAPACITANCE OF CONDUCTING BODIES FOR ELECTROMAGNETIC MODELING
ARPN Journal of Engineering and Applied Sciences, 2015
[372] BCI and Audio Responce Approach for Improved Emotional State Classification
International Journal of Advanced Research in Computer and Communication Engineering, 2015
[373] Improved Two-Phase Framework for Facial Emotion Recognition
ETRI Journal, 2015
[374] The study of fear-induced power modulations for Cognitive Man-Machine Communication
Cognitive Informatics & Cognitive Computing (ICCI* CC), 2015 IEEE 14th International Conference on, 2015
[375] Classification of Human Emotions using Multiwavelet Transform based Features and Random Forest Technique
Indian Journal of Science and Technology, 2015
[376] VLSI Architectures for 3D Discrete Wavelet Transform and Applications of Wavelet Transform–A Comprehensive Study
International Research Journal of Engineering and Technology, 2015
[377] Emotion Detection from Brain and Audio Signal
International Journal of scientific research and management, 2015
[378] Cultural Differences and Similarities in Emotion Recognition
2015
[379] EFFCIENT HUMAN EMOTION RETRIEVAL USING BCI AND SPEECH
International Research Journal of Engineering and Technology, 2015
[380] An Enhanced Feature Extraction Method and Classification Method of EEG Signals using Artificial Intelligence
International Journal of Computer Applications, 2015
[381] Assessing the attention levels of students by using a novel attention aware system based on brainwave signals
British Journal of Educational Technology, 2015
[382] High-Frequency Electroencephalographic Activity in Left Temporal Area Is Associated with Pleasant Emotion Induced by Video Clips
Computational Intelligence and Neuroscience, 2015
[383] EEG-Based Emotion Recognition Using Statistical Measures and Auto-Regressive Modeling
Computational Intelligence & Communication Technology (CICT), 2015 IEEE International Conference on, 2015
[384] Dynamic screening of autistic children in various mental states using pattern of connectivity between brain regions
Applied Soft Computing, 2015
[385] Frequency Band Localization on Multiple Physiological Signals for Human Emotion Classification Using DWT
Emotion Recognition: A Pattern Analysis Approach, 2015
[386] Mental Stress Recognition using K-Nearest Neighbor (KNN) Classifier on EEG Signals
International Conference on Materials, Electronics & Information Engineering, ICMEIE-2015, 2015
[387] Probe-independent EEG assessment of mental workload in pilots
Neural Engineering (NER), 2015 7th International IEEE/EMBS Conference on, 2015
[388] Extracting neurophysiological signals reflecting users' emotional and affective responses to BCI use: A systematic literature review
NeuroRehabilitation, 2015
[389] Multi-modal Emotion Analysis from Facial Expressions and Electroencephalogram
2015
[390] Electroencephalogram (EEG) signal processing, wave identification, and emotion recognition
2015
[391] Machine Learning to Differentiate Between Positive and Negative Emotions Using Pupil Diameter
Frontiers in psychology, 2015
[392] Mutual information between inter-hemispheric EEG spectro-temporal patterns: A new feature for automated affect recognition
Neural Engineering (NER), 2015 7th International IEEE/EMBS Conference on, 2015
[393] Classification of human emotions from EEG signals using SVM and LDA Classifiers
Signal Processing and Integrated Networks (SPIN), 2015 2nd International Conference on, 2015
[394] Distinct adoption of k-nearest neighbour and support vector machine in classifying EEG signals of mental tasks
International Journal of Intelligent Engineering Informatics, 2015
[395] Emotional Stress Recognition using Multi-Modal Bio-Signals
Biometrics and Bioinformatics, 2015
[396] Entropy feature distribution in delay-matching task for alcoholic and control subjects
Computing, Communication & Automation (ICCCA), 2015 International Conference on, 2015
[397] Detection of Human Emotions Using Features Based on the Multiwavelet Transform of EEG Signals
Brain-Computer Interfaces, 2015
[398] EFFICIENT HUMAN EMOTION RETRIEVAL USING BCI AND SPEECH
2015
[399] Static and Dynamic Methods for Emotion Recognition from Physiological Signals
2015
[400] Classfication Technique for Human Emotion in Virtual Reality Using Game-based Brain Computer Interface
Thesis, 2015
[401] Classification of emotion from EEG using hybrid radial basis function networks with elitist PSO
2015
[402] Official Publication of Swami Vivekananda Yoga Anusandhana Samsthana University
2015
[403] 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
[404] Emotiv EPOC 측정 DWT 기반 EEG 신호 분석을 통한 동작 이분 분류
2015?? ??????? ???? ? ??????, 2015
[405] Classification Technique for Human Emotion in Virtual Reality Using Game-based Brain Computer Interface
2015
[406] Distinct adoption of k-nearest neighbour and support vector machine in classifying EEG signals of mental tasks.
2015
[407] Procesado de señal de EEG para detección del nivel de atención mediante Wavelets
2014
[408] Classification of Electroencephalography Signal Using Statistical Features and Regression Classifier
Thesis, 2014
[409] The Promise of Neurotechnology in Clinical Translational Science
Clinical Psychological Science, 2014
[410] Machine Learning to Identify Neural Correlates of Music and Emotions
Guide to Brain-Computer Music Interfacing. Springer London, 2014
[411] Understanding the relationship between physiological signals and digital game-based learning outcome
Journal of Computers in Education, 2014
[412] 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
[413] Human Emotion Classification from EEG Signals Using Multiwavelet Transform
Medical Biometrics (ICMB), 2014 International Conference on. IEEE, 2014., 2014
[414] Cognitive attention behaviour detection systems using Electroencephalograph (EEG) signals
Research Journal of Pharmacy and Technology, 2014
[415] Classifying Different Emotional States by Means of EEG-Based Functional Connectivity Patterns
PloS one, 2014
[416] Experiments for Emotion Estimation from Biological Signals and Its Application
Transactions on Computational Science XXIII, 2014
[417] Performance enhancement of mental task classification using EEG signal: a study of multivariate feature selection methods
Soft Computing, 2014
[418] The Emotion Recognition System Based on Autoregressive Model and Sequential Forward Feature Selection of Electroencephalogram Signals
Journal of medical signals and sensors, 2014
[419] 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
[420] Emotional state classification from EEG data using machine learning approach
Neurocomputing, 2014
[421] Feature Extraction and Selection for Emotion Recognition from EEG
2014
[422] 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
[423] 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
[424] 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
[425] Wavelet Based Feature Extraction Scheme of Electroencephalogram
MCEM Kumar, MSVD Kumar - ijirset.com, 2014
[426] Cognitive Enhancement of Sports Persons Using Multiple Object Tracking
2014
[427] Factor Analysis as the Feature Selection Method in an Emotion Norm Database
Intelligent Information and Database Systems. Springer International Publishing, 2014
[428] An efficient multi modal emotion recognition system: ISAMC
Impact of E-Technology on US (IMPETUS), 2014 International Conference on the. IEEE, 2014
[429] 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
[430] 자동 감성 인식을 위한 비교사-교사 분류기의 복합 설계
The Transactions of the Korean Institute of Electrical Engineers, 2014
[431] Emotion Recognition from EEG Signals Using Fractal Dimension And Wavelet Transform
2014
[432] Research on Emotion Recognition using Speech and Physiological Signals
2014
[433] Методы частотно-временного анализа электроэнцефалографических сигналов
2014
[434] 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
[435] Emotional Valence Detection based on a Novel Wavelet Feature Extraction Strategy using EEG Signals.
7th International Conference on Health Informatics, 2014
[436] Combining spectral and fractal features for emotion recognition on Electroencephalographic signals
WSEAS Transactions on Signal Processing , 2014
[437] COMPARANDO TÉCNICAS DE APRENDIZADO DE MÁQUINA PARA CLASSIFICAÇÃO DE SINAIS DE ELETROENCEFALOGRAMA
2014
[438] МЕТОДИ ЧАСТОТНО-ЧАСОВОГО АНАЛІЗУ ЕЛЕКТРОЕНЦЕФАЛОГРАФІЧНИХ СИГНАЛІВ.
ВЕСТНИК ХНТУ, 2014
[439] Healthcare System Focusing on Emotional Aspect using Augmented Reality-Relaxation Service
2014
[440] A Framework for Real-Time Emotion Recognition with an Online EEG-based BCI during Content Browsing
2014
[441] The Emotion Recognition System Based on Autoregressive Model and Sequential Forward Feature Selection of
2014
[442] Recurrence Quantification Analysis of Auditory Evoked Related Potential in Inattention and Attention
2013
[443] Performance Evaluation of Attention-inattetion Classifiers using Non-linear Recurrence Pattern and Spectrum Analysis
2013
[444] GA-SVM 을 이용한 뇌파신호의 비선형 및 주파수 집중판별 특징선택
Journal of KISS : Software and Applications, 2013
[445] An improved approximate entropy based epilepsy seizure detection using multi-wavelet and artificial neural networks
International Journal of Biomedical Engineering and Technology, 2013
[446] Recognition of emotions induced by music videos using DT-CWPT
2013
[447] Healthcare System Focusing on Emotional Aspect Using Augmented Reality: Control Breathing Application in Relaxation Service
HCI International 2013 - Posters’ Extended Abstracts, 2013
[448] Common Spatial Pattern Method for Channel Reduction in EEG-Based Emotion Recognition
The Modares Journal of Electrical Engineering, 2013
[449] Physiological Signals and Classification for Happiness, Neural and Surprise Emotions
INTELLI 2013, The Second International Conference on Intelligent Systems and Applications, 2013
[450] 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
[451] Emotional analysis thru EEG signals, to monitor high performance athletes
2013
[452] Classification of human emotions based on multiwavelet transform of EEG signals
Proceedings 2013 AASRI Conference on Intelligent Systems and Control. 2013., 2013
[453] 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
[454] 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
[455] Extraction of User Preference for Video Stimuli Using EEG-Based User Responses
ETRI Journal, 2013
[456] Emotion Estimation from Biological Signals and Its Application to an Emotional Painting Tool
Cyberworlds (CW), 2013 International Conference on. IEEE, 2013., 2013
[457] Frequency band analysis of electrocardiogram (ECG) signals for human emotional state classification using discrete wavelet transform (DWT)
Journal of Physical Therapy Science, 2013
[458] Emotional brain–computer interfaces
International Journal of Autonomous and Adaptive Communications Systems, 2013
[459] A review on the computational methods for emotional state estimation from the human EEG
Computational and mathematical methods in medicine, 2013
[460] 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
[461] Detection of Human stress using Short-Term ECG and HRV signals
Journal of Mechanics in Medicine and Biology, 2013
[462] EEG signal classification for epilepsy seizure detection using improved approximate entropy
International Journal of Public Health Science (IJPHS), 2013
[463] The Design of Feature Selection Classifier based on Physiological Signal for Emotion Detection
Journal of the Institute of Electronics and Information Engineers, 2013
[464] The Non-linear and Frequency Domain Features Selection from EEG Signal using GA-SVM for Attention Classification
2013
[465] 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
[466] Feature Selecting Algorithm Devel opment Based on Physiological Signals for Negative Emotion Recognition
2013
[467] Healthcare System Focusing On Emotional Aspects Using Augmented Reality
5th International Congress of IASDR, 2013
[468] ERNN: A biologically plausible feed-forward neural network to discriminate emotion from EEG signal
IEEE Transactions on Neural Networks, 2013
[469] 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
[470] 감성판별을 위한 생체신호기반 특징선택 분류기 설계
2013
[471] 비선형 반복 패턴과 스펙트럼 분석을 이용한 집중-비집중 분류기의 성능 평가
2013
[472] 비 집중․ 집중 상태에 따른 청각 유발 전위의 반복 정량 분석
2013
[473] 使用情感運算技術評估數位遊戲式學習之成效
2013
[474] 비 집중, 집중 상태에 따른 청각 유발 전위의 반복 정량 분석
2013
[475] COMMON SPATIAL PATTERN METHOD FOR CHANNEL REDUCTION IN EEGBASED EMOTION RECOGNITION
2013
[476] 基於腦波訊號發展注意力辨識系統
2013
[477] Emotion Recognition from Facial Expression and Electroencephalogram Signals
Cross-Disciplinary Applications of Artificial Intelligence and Pattern Recognition: Advancing Technologies, 2012
[478] 利用支持向量機及小波轉換進行人腦電波的情緒鑑別
2012
[479] Spectral Analysis of physiological parameters for emotion detection
Image, Signal Processing, and Artificial Vision (STSIVA), 2012 XVII Symposium of. IEEE, 2012
[480] Three Differential Emotions and Classification Using Physiological Signals
2012
[481] 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
[482] Emotion Recognition through ANS Responses Evoked by Negative Emotions
ACHI 2012, The Fifth International Conference on Advances in Computer-Human Interactions. 2012., 2012
[483] Emotion Recognition by Machine Learning Algorithms using Psychophysiological Signals
Int. J. Eng. Industries, 2012
[484] 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
[485] Development of EEG-based stress index
Biomedical Engineering (ICoBE), 2012 International Conference on. IEEE, 2012., 2012
[486] Computational emotion recognition using multimodal physiological signals: Elicited using japanese kanji words
Telecommunications and Signal Processing (TSP), 2012 35th International Conference on. IEEE, 2012
[487] Emotion Recognition using Spatiotemporal Analysis of Electroencephalographic Signals
2012
[488] GPSO versus neural network in facial emotion detection
Industrial Electronics and Applications (ISIEA), 2012 IEEE Symposium on. IEEE, 2012., 2012
[489] Emotion Recognition by Machine Learning Algorithms using Psychophysiological Signals.
2012
[490] Spectral analysis of physiological parameters for consumers' emotion detection
Sistemas & Telemática, 2012
[491] EEG işaretlerindeki göz ve çene hareketi artifaktlarının sınıflandırılması
2012
[492] Análisis espectral de parámetros fisiológicos para la detección de emociones
2011
[493] 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
[494] 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
[495] 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
[496] Measuring academic affective states of students via brainwave signals
Knowledge and Systems Engineering (KSE), 2011 Third International Conference on. IEEE, 2011
[497] Electromyogram signal based human emotion classification using KNN and LDA
System Engineering and Technology (ICSET), 2011 IEEE International Conference on. IEEE, 2011., 2011
[498] Novel methods for stress features identification using EEG signals
International Journal of Simulation: Systems, Science and Technology, 2011
[499] Analysis of Spatio-temporal Relationship of Multiple Energy Spectra of EEG Data for Emotion Recognition
Computer Networks and Intelligent Computing, 2011
[500] 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
[501] Electroencephalogram Signals
2011
[502] ELECTROENCEPHALOGRAM EXTRACTION AND SELECTION SYSTEM REPRESENTATIVE FEATURES
Education, 2009
[503] EMOTION RECOGNITION BASED ON EEG FEATURES WITH VARIOUS BRAIN REGIONS
[504] AN ENHANCED COMPUTATIONAL MODEL BASED ON SOCIAL SPIDER OPTIMISATION ALGORITHM FOR EEG-BASED EMOTION RECOGNITION
[505] A Framework for Usability Testing using EEG Signals with Emotion Recognition
[506] Motor Imagery EEG Classification using Wavelet Common Spatial Boosting Pattern
S Liua, F Sunb, W Zhang
[507] Research Paper The Effect of Electrical Fields From High-voltage Transmission Line on Cognitive, Biological, and Anatomical Changes in Male Rhesus …
[508] Brain-Computer Interface (BCI) is a Direct Communication Pathway between a Brain and a Device: A Comprehensive Analysis
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