Neural Information Processing

Name: Neural Information Processing | 18th International Conference, ICONIP 2011, Shanghai, China, November 13-17, 2011, Proceedings, Part I
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18th International Conference, ICONIP 2011, Shanghai, China, November 13-17, 2011, Proceedings, Part I

Bao-Liang Lu Liqing Zhang James Kwok(Editor)

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Published on 12. November 2011

XXXVIII, 752 pages

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Content

Intro
Title page
Preface
ICONIP 2011 Organization
Table of Contents
Perception, Emotion and Development
Stable Fast Rewiring Depends on the Activation of Skeleton Voxels
Introduction
Material
Temporal Stability
Skeleton Voxels
Discussions and Conclusions
References
A Computational Agent Model for Hebbian Learning of Social Interaction
Introduction
The Adaptive Agent Model Based on Hebbian Learning
Example Simulations of Learning Processes
Formal Analysis
Discussion
References
An Information Theoretic Approach to Joint Approximate Diagonalization
Introduction
Method
Estimation of True Distribution
Objective Function
Improvement of JADE with Lower Bound
Results
Conclusion
References
Support Constraint Machines
Introduction
SCM for Constraint Checking
Checking First-Order Logic Constraints
Conclusions
References
Human Activity Inference Using Hierarchical Bayesian Network in Mobile Contexts
Introduction
Related Works
Proposed Method
Context Collection and Preprocessing
Bayesian Network Modeling for Activity Using Context Hierarchy
Hierarchical Bayesian Networks for Activity Class
Experimental Result
Summary and Discussion
References
Estimation System for Human-Interest Degree while Watching TV Commercials Using EEG
Introduction
Estimation System for Human-Interest Degree
Overview of Our System
EEG Measurement and Feature Extraction
Construction of Estimation System for Human-Interest Degree
Experiment of Watching TV Commercials
Simulations
Estimation of Human-Interest Degree for Each TV Commercial
Sequential Estimation of Human-Interest Degree for TV Commercials
Conclusions
References
Effects of Second-Order Statistics on Independent Component Filters
Introduction
Methods
The Generative Model of IC Filters
FastICA
Results
Preprocessing Conditions
Learned Filters and Basis Functions
Discussion
Conclusion
References
Neural Model of Auditory Cortex for Binding Sound Intensity and Frequency Information in Bat's Echolocation
Introduction
Naive Bayesian Multistep Speaker Recognition Using CAN2
Overview of Speaker Recognition
Singlestep Speaker Recognition
Naive Bayesian Multistep Speaker Recognition
Problems and Modifications for Reasonable Recognition
Experimental Results and Remarks
Experimental Setting
Experimental Results
Conclusion
References
Medial Axis for 3D Shape Representation
Introduction
The Model and the Methods
Input Stimulus
MA Detection
Reconstruction
Reconstruction Error
Simulation Results
Stimuli and Method
Results
Conclusions and Discussions
References
A Biologically Inspired Model for Occluded Patterns
Introduction
Approach
The Model
Network Algorithm
Data for Training and Testing
Simulation and Results
Pattern without Any Occlusion
Pattern with Non-critical Occlusion
Pattern with Missing Parts
Pattern with Critical Occlusion
Conclusion
References
Bioinformatics
Dynamic Bayesian Network Modeling of Cyanobacterial Biological Processes via Gene Clustering
Introduction
Filtering and Clustering of Genes
Assessment of Clustering Results
Building a Network of Interacting Clusters
Experiments on Cyanothece sp. strain ATCC 51142
Discussion and Conclusion
References
Discrimination of Protein Thermostability Based on a New Integrated Neural Network
Introduction
Materials and Methods
Dataset [14]
Feature Extraction
Discrimination Method [14]
Integration
Experimental Results
Conclusion
References
Visual Analytics of Clinical and Genetic Datasets of Acute Lymphoblastic Leukaemia
Introduction
Data Set and Automated Analysis
The Visual Analytics Platform
Overview of the Patients
Interactive Navigation
Genes of Interests Analysis
Analytical Discussions
Conclusions
References
Complex Detection Based on Integrated Properties
Introduction
Method
Features
The Proposed Algorithm
Results and Discussion
Reference Datasets and Evaluation Matrices
Comparison Results
Functional Annotation of Network Modules
Conclusions and Future Work
References
Exploring Associations between Changes in Ambient Temperature and Stroke Occurrence: Comparative Analysis Using Global and Personalised Modelling Approaches
Introduction
Background and Related Work
Global Modelling
Personalised Modelling
Fast Local Kernel Support Vector Machines - A Recently Developed Personalised Algorithm
Experiment
Dataset and Experiment Setup
Experiment Result and Discussion
Conclusion and Future Direction
References
Recognition of Human's Implicit Intention Based on an Eyeball Movement Pattern Analysis
Introduction
Recognition of Human Intention Based on Eyeball Movement
Definition of User Intention
Eyeball Movement Measurement Device
Correlation between Eyeball Movement and Human's Implicit Intent
Discrimination between Navigational and Informational Intent
Experiments
Experimental Results for an Eyeball Movement Analysis of Human's Intention
Performance for Human's Implicit Intent Using the Nearest Neighbor
Conclusions
References
ECG Classification Using ICA Features and Support Vector Machines
Introduction
Feature Extraction
Independent Component Analysis Features
Statistical Segmentation and Temporal Feature
Feature Selection
Classification
Experiment and Result
References
Feature Reduction Using a Topic Model for the Prediction of Type III Secreted Effectors
Introduction
Methods
Topic Model
Our Method
Experimental Results
Data Set
Experimental Settings and Evaluation Criteria
Results and Discussions
Conclusion
References
Biologically Inspired Vision and Recognition
A Saliency Detection Model Based on Local and Global Kernel Density Estimation
Introduction
Proposed Saliency Detection Model
Implementation
Experimental Results
Conclusions and Future Work
References
Saliency Detection Based on Scale Selectivity of Human Visual System
Introduction
Scale Selectivity of Human Vision System
Saliency Detection Based on Scale Selectivity
Analysis of Eye Tracking Data
Saliency Based on Scale Selection
Experimental Results
Conclusion
References
Bio-inspired Visual Saliency Detection and Its Application on Image Retargeting
Introduction
Review of Our Saliency Measure
Saliency Guided Image Retargeting
Experimental Validation
Parameters Selection
Saliency Map vs. Gray Image
Qualitative Comparison between Saliency Measures
Quantitative Comparison between Saliency Measures
Conclusions
References
An Approach to Distance Estimation with Stereo Vision Using Address-Event-Representation
Introduction
System Description
Multi Hold and Fire Algorithm
Calculating Distances
Conclusions
References
AER Spiking Neuron Computation on GPUs: The Frame-to-AER Generation
Introduction
Simulation and Emulation of Spiking Systems
CUDA Architecture
Main Modules of the Emulation/Simulation Tool
Performance Study
Conclusions and Future Work
References
Skull-Closed Autonomous Development
Introduction
Overview of the Network Architecture
New Mechanisms for Skull Closure
Concepts of the New Mechanisms
Algorithm
Experimental Results
Conclusion
References
Enhanced Discrimination of Face Orientation Based on Gabor Filters
Introduction
Method
Gabor Filters
FFT
PCA
ICA
Experimental Results
Conclusions
References
Visual Cortex Inspired Junction Detection
Introduction
PrimalSketch
Contour Extraction
Contextual Moudulation
Junction Detection
Junction Locating
Junction Classification
Experiments and Discussions
Conclusion
References
Bio-medical Data Analysis
A Quasi-linear Approach for Microarray Missing Value Imputation
Introduction
Quasi-Linear SVR Model
Quasi-Linear Formulation
SVR with Quasi-Linear Kernel
Implementation of Quasi-Linear SVR for Microarray Missing Value Imputation
Experiments and Results
Experiment Setting
Datasets
Experimental Results
Discussions
Conclusions
References
Knowledge-Based Segmentation of Spine and Ribs from Bone Scintigraphy
Introduction
Materials and Methods
Thoracic Area Extraction
Spinal Column Segmentation
Rib Segmentation
Experimental Results
The Thoracic Region Extraction
Spine and Vertebrae Segmentation
Rib Segmentation
Conclusions
References
Adaptive Region Growing Based on Boundary Measures
Introduction
Region Expansion
Local Boundary Measures
Local Classification Function
Region Expansion Algorithm
Boundary Selection
Experimental Results
Discussion
Global Boundary Measure
Local State Classification
Conclusion
References
Adaptive Detection of Hotspots in Thoracic Spine from Bone Scintigraphy
Introduction
Materials and Methods
Hotspot Detection
Classification of Spine Images
Results and Discussion
Results of Hotspot Detection
Comparison with Existing Methods
Conclusion
References
ICA-Based Automatic Classification of PET Images from ADNI Database
Introduction
Materials and Methods
Database
Preprocessing
Independent Component Analysis
Feature Extraction
Classification
Results
Extraction of Independent Components
Classification
Discussion and Conclusion
References
Brain Signal Processing
A Novel Combination of Time Phase and EEG Frequency Components for SSVEP-Based BCI
Introduction
Material and Methods
Experimental Paradigm and EEG Acquisition
Feature Extraction and Classification
Results
Discussion and Conclusion
References
A Novel Oddball Paradigm for Affective BCIs Using Emotional Faces as Stimuli
Introduction
Methods
Results
Conclusions
References
Multiway Canonical Correlation Analysis for Frequency Components Recognition in SSVEP-Based BCIs
Introduction
Experiment and EEG Acquisition
Method
CCA and SSVEP Recognition
Multiway CCA and SSVEP Recognition
Results
Discussion and Conclusion
References
An Emotional Face Evoked EEG Signal Recognition Method Based on Optimal EEG Feature and Electrodes Selection
Introduction
The Framework of Emotional Face Evoked EEG Signal Recognition Method
Framework
EEG Acquisition
Analysis of the Reorganization of EEG
Experimental Results and Analysis
PCA Parameter Setting Description
Experiment I : Feature Selection - A Single Electrode
Experiment II: Feature Selection - A Combination of Optimal Single Electrodes
Experiment III: Feature Selection - Each Time Span of Each Single Electrode
Experiment IV: Feature Selection - A Combination of Optimal Time Spans
Conclusions and Outlook
References
Functional Connectivity Analysis with Voxel-Based Morphometry for Diagnosis of Mild Cognitive Impairment
Introduction
Method
sMRI Analysis via Voxel-Based Morphometry
fMRI Analysis via Functional Connectivity Patterns
Experimental Results
Group-Level Inference of VBM Results
Functional Connectivity Results Integrated with VBM
Discussion
Conclusion
References
An Application of Translation Error to Brain Death Diagnosis
Introduction
Independent Component Analysis
Translation Error
Experiments
Concluding Remarks
References
Research on Relationship between Saccadic Eye Movements and EEG Signals in the Case of Free Movements and Cued Movements
Introduction
Previous Results and This Problems
Experimental Settings
Experimental Results
Problems in Previous Results
Cued-Movement Experiments
Experimental Results
Discussion
Free-Movement Experiments
Experimental Setting
Experimental Results
Discussion
Conclusion
References
Brain-Computer Interfaces
A Probabilistic Model for Discovering High Level Brain Activities from fMRI
Introduction
A Model for Dynamic Cognitive Activities
Conditional Random Field
Model Learning by Maximum Likelihood
Model Inference
Experiment
Brain Images and Task Settings
Recognising Dynamic Cognitive Activities
Conclusion
References
Research of EEG from Patients with Temporal Lobe Epilepsy on Causal Analysis of Directional Transfer Functions
Introduction
Methods
The Clinical 16-Channel EEG Signals from the Patients with TLE
Causal Analysis of 16-Channel EEG on Directional Transfer Function
Results
The Results of Patients with Left-TLE
The Results of Patients with Right-TLE
Conclusion
Discussion
References
Multifractal Analysis of Intracranial EEG in Epilepticus Rats
Introduction
Methods
Multifractal Detrended Fluctuation Analysis
Surrogate Data Analysis
Animal Modeling and Local Field Potential (Intracranial EEG)
Decreases of Multifractality from Normal State to Epileptic Model
Changes of Multifractality between Epileptic Rats and TBOA Injection Rats in Hippocampal DG
Decreases of Multifractality from Epileptic Model to TBOA Injection
Conclusions
References
P300 Response Classification in the Presence of Magnitude and Latency Fluctuations
Introduction
Datasets
Experiment Setup
Experiment Procedure
Data Pre-processing and Screening
Single Trial and Average of Multiple Trials
Classifiers
Linear Discriminant Analysis (LDA)
Hidden Markov Model (HMM)
Performance Metrics
Comparison Protocol
Results
Conclusion
References
Adaptive Classification for Brain-Machine Interface with Reinforcement Learning
Introduction
Proposed System
ERPs
P300 Speller
BMI System with Reinforcement Learning
Method
Experimental Procedure
Experimental Result
Applicability of Reinforcement Learning
Applicability of Reinforcement Learning
Reinforcement Learning
Learning Model
Actor
Critic
Update
Simulation of Reinforcement Learning Process
Conclusion
References
Power Laws for Spontaneous Neuronal Activity in Hippocampal CA3 Slice Culture
Introduction
Materials and Methods
Experimental Data
CA3 Slice Model
Results
Discussion and Conclusion
References
An Integrated Hierarchical Gaussian Mixture Model to Estimate Vigilance Level Based on EEG Recordings
Introduction
Data Acquisition and Quantification
Data Acquisition
Quantification Strategy
Methods
Filtering and Artifact Removal
Feature Extraction
Hierarchical Gaussian Mixture Model
Experiment and Results
Conclusions
References
EEG Analysis of the Navigation Strategies in a 3D Tunnel Task
Introduction
Methods
Results
Discussion
Conclusion
References
Reading Your Mind: EEG during Reading Task
Introduction
Backgrounds
General
Preliminary Analysis
Experiment
Setups
Signal Processing
Classification
Evaluation and Comparison
For Individual Participants
For the Whole Dataset
Conclusion
References
Vigilance Estimation Based on Statistic Learning with One ICA Component of EEG Signal
Introduction
Data Acquisition
Method
Data Preprocessing
Feature Extraction
States Determination
Probability Matrix Computation
Experiment Result
Conclusion and Future Work
References
Brain-Like Systems
A Recurrent Multimodal Network for Binding Written Words and Sensory-Based Semantics into Concepts
Introduction
Model Description
Operation of Recurrent Network
Preprocessing of Percepts and Word Bigrams
Sequential Development of Maps
Testing Response of Network to Word Stimuli
Simulation Results
Discussion
Conclusion
References
Analysis of Beliefs of Survivors of the 7/7 London Bombings: Application of a Formal Model for Contagion of Mental States
Introduction
London Bombings
Formalisation of Survivor Statements
Survivor Statements
Formalisation
Simulation Model
Simulation Results
Formal Comparison
Discussion
References
Modular Scale-Free Function Subnetworks in Auditory Areas
Introduction
Material
Mean Shift Clustering
Basic Mean Shift
Functional Mean Shift
Characterize the Function Subnetwork
Scale-Free Subnetwork
Global Subnetworks
Network Modularization
Conclusions
References
Bio-inspired Model of Spatial Cognition
Introduction
Motivation
The Model
Visual Subsystem
Auditory Subsytem
Multimodal Integration
Results
Conclusion
References
EEG Classification with BSA Spike Encoding Algorithm and Evolving Probabilistic Spiking Neural Network
Introduction
Related Works
Methodology
Spike Encoder
Evolving Probabilistic Spiking Neuron Network Reservoir (epSNNr)
Dataset
Experiments and Discussions
Conclusion and Future Works
References
A New Learning Algorithm for Adaptive Spiking Neural Networks
Introduction
Learning and Structural Adaptation
Network Topology and Simulation Setup
Learning Procedure
Experiments and Results
IRIS Dataset Classification
Wisconsin Breast Cancer Dataset Classification
Analysis of Results
Conclusion
References
Brain-Realistic Models for Learning, Memory and Embodied Cognition
Axonal Slow Integration Induced Persistent Firing Neuron Model
Introduction
Persistent Firing Neuron Model
Simulation Results
Discussion
References
Brain Inspired Cognitive System for Learningand Memory
Introduction
Brain Inspired Cognitive System
Vision Input
Hippocampus Circuitry
Learning of an Input Image
Conclusion
References
A Neuro-cognitive Robot for Spatial Navigation
Introduction
Brain-inspired Cognitive System
Device, Task and Environment in the Simulation
Simulation Results
Conclusion
References
Associative Memory Model of Hippocampus CA3 Using Spike Response Neurons
Introduction
Hippocampus
ModelofCA3
Spike Response Model
Pyramidal Cells
Interneurons
Synaptic Modification
Results and Discussion
Conclusion
References
Goal-Oriented Behavior Generation for Visually-Guided Manipulation Task
Introduction
Visually-Guided Behavior Planning Generation
Overall Architecture
Stereo Saliency Map for Visual Attention and Depth Estimation
MTRNN for Coordination of Attention and Behavior Sequences
Experiments and Results
Experiment Setting
Humanoid Robot and Workbench
Visually-Guided Multiple Objects Manipulation Task
Task generation Results
Conclusion and Further Works
References
Clifford Algebraic Neural Networks
Dynamic Complex-Valued Associative Memory with Strong Bias Terms
Introduction
Complex-Valued Associative Memory
Dynamic Complex-Valued Associative Memory
BiasTerms
Computer Simulations
Conclusion
References
Widely Linear Processing of Hypercomplex Signals
Introduction
The Clifford Algebra
The WL Model
The Complex-Valued WL Model
The Quaternion-Valued WL Model
The Clifford-Valued WL Model
A Theoretical Foundation of the Quaternion-Valued WL Model
Conclusions
References
Comparison of Complex- and Real-Valued Feedforward Neural Networks in Their Generalization Ability
Introduction
Construction of Experiments and Learning Dynamics
Forward Processing and Learning Dynamics
Computer Experiments
Experimental Setup
Result
Conclusion
References
An Automatic Music Transcription Based on Translation of Spectrum and Sound Path Estimation
Introduction
A Generative Model for Instrument Sounds
Activations
Basis Patterns
Sound Paths
Complex Non-negative Matrix Factorization
Experiments and Results
Conclusions
References
Real-Time Hand Gesture Recognition Using Complex-Valued Neural Network (CVNN)
Introduction
Procedures
Detecting and Tracing the Human Hand
Image Processing
Hand Gesture Representation
Results
Conclusion
References
Wirtinger Calculus Based Gradient Descent and Levenberg-Marquardt Learning Algorithms in Complex-Valued Neural Networks
Introduction
Complex Gradient Descent and Complex-LM Algorithm Using Wirtinger Calculus
Wirtinger Calculus
The Complex Gradient Descent Algorithm
The Complex LM Algorithm
Computer Simulation Results
Conclusions
References
Models of Hopfield-Type Clifford Neural Networks and Their Energy Functions - Hyperbolic and Dual Valued Networks -
Introduction
Clifford Algebra
Definition
Basic Properties and Algebraic Basis
Models of Hopfield Type Clifford Neural Networks
Existence Conditions of Energy Functions
Definition of Energy Functions
Existence Conditions for Clifford Neural Networks of Classes $G_1,0,0,$ $G_0,1,0$ and $G_0,0,1$
Conclusions
References
Combining Multiple Learners
Simultaneous Pattern and Variable Weighting during Topological Clustering
Introduction
Classical Self-Organizing Map (SOM)
Double Local Weighting SOM : dlw-SOM
Complexity of the dlw-SOM
Cluster characterization
Experimental Results
Results on Waveform
Results on Others Data Sets
Conclusions and Future Work
References
Predicting Concept Changes Using a Committee of Experts
Introduction
Related Work
Prediction Algorithm
Building the Committee
Prediction
Experiments
Experiment 1
Experiment 2
Conclusion
References
Feature Relationships Hypergraph for Multimodal Recognition
Introduction
Feature Relationships Hypergraph
High-Order Correlations among Multimodal Features
Hypergraph
Efficient FRH Construction
Boosting Compositional Partitions
Intra-Partition Kernel Matrices
Boosting Compositional Partitions
Experimental Results and Analysis
Multimodal Object Recognition on Corel
Multimodal Speech Emotion Recognition
Conclusions
References
Weighted Topological Clustering for Categorical Data
Introduction
Categorical Data and Probabilistic Self-organizing Map
General Probabilistic Formalism
The Proposed Model
Cost Function and Optimization Algorithm
Experimentations and Validations
Conclusion
References
Unsupervised Object Ranking Using Not Even Weak Experts
Introduction
The Problem and Related Works
Definition of the Problem
Related Works
A New Method
The Principle
Formal Development
Estimating the Number of Positive Instances
Experimental Results on Synthetic Data
Towards Higher Order Combinations of Experts and Rankings
Lessons and Perspectives
References
Computational Advances in Bioinformatics
Research on Classification Methods of Glycoside Hydrolases Mechanism
Introduction
Material and Method
Data Collection
Representative Feature Selection and Data Processing
Classification Methods
Results and Discussion
Conclusion
References
A Memetic Approach to Protein Structure Prediction in Triangular Lattices
Introduction
Cultural Memetic Algorithm
Population Initialization
Meme Generation
Clustering MA
Population Initialization with Memes
Meme-Based Mutation
Experimental Evaluation
Conclusion
References
Conflict Resolution Based Global Search Operators for Long Protein Structures Prediction
Introduction
Backgrounds
PSP Using Lattice Models
Global Search Operators
Proposed Method
Conventional Crossover
Conflict Resolution Based Crossover
Conflict Resolution Based Mutation
Results
Crossover
Mutation
CMA with Long Proteins
Conclusion
References
Personalised Modelling on SNPs Data for Crohn's Disease Prediction
Introduction
Background and Related Work
Crohn's Disease
SNPs Data Analysis
The IMPM Method
Experiment Setup
Data
Experiment Result and Discussion
IMPM vs. Global SVM
Reproducibility Evaluation
Conclusion and Future Direction
References
Improved Gene Clustering Based on Particle Swarm Optimization, K-Means, and Cluster Matching
Introduction
The PSO-Based K-Means Clustering Algorithm (PSO-KM)
The Proposed Scheme for the PSO-KM Algorithm
Experimental Evaluation
Conclusion
References
Comparison between the Applications of Fragment-Based and Vertex-Based GPU Approaches in K-Means Clustering of Time Series Gene Expression Data
Introduction
Fragment-Based Approach of GPU-Accelerated K-Means
Vertex-Based Approach of GPU-accelerated K-Means
Application of the Proposed Method in Clustering Short Time-Series Gene Expression Data
Conclusion
References
A Modified Two-Stage SVM-RFE Model for Cancer Classification Using Microarray Data
Introduction
Gene Selection Algorithm and Support Vector Machine
Support Vector Machine (SVM)
Support Vector Machine-Recursive Feature Elimination (SVM-RFE)
Two-Stage SVM-RFE and Its Modified Variant
The Experimental Study
Summary
References
Pathway-Based Microarray Analysis with Negatively Correlated Feature Sets for Disease Classification
Introduction
Material and Method
Dataset
Method
Results and Discussion
Conclusions
References
Computational-Intelligent Human Computer Interaction
Person Identification Using Electroencephalographic Signals Evoked by Visual Stimuli
Introduction
Materials
Participants and Paradigm
EEG Recording and Preprocessing
Methods
Feature Extraction
Classification
Verification
Results
Temporal Characteristics in the Acquired Signals
Accuracy in the Classification Phase
Accuracy in the Verification Phase
Classification Accuracy Over Time
Discussion and Conclusions
References
Generalised Support Vector Machine for Brain-Computer Interface
Introduction
Generalised Support Vector Machine (GSVM)
Key Lemma
The Idea of GSVM
Formulation of GSVM
Solution
Interpretation of GSVM
Combined Short-Window Bivariate Autoregressive Feature (CSWBVAR)
Autoregressive model
CSWBVAR Feature
Experimental Results
Conclusion
References
An EEG-Based Brain-Computer Interface for Dual Task Driving Detection
Introduction
Methods
Experiment and Subjects
Signal Processing and Feature Extraction
Classification Algorithm
Distracted Detection System
Results
EEG Results
SOM Results and System Performance
Conclusions
References
Removing Unrelated Features Based on Linear Dynamical System for Motor-Imagery-Based Brain-Computer Interface
Introduction
Methodology
Main Idea
Common Spatial Patterns
Linear Dynamical System
Experimental Results
Conclusions
References
EEG-Based Motion Sickness Estimation Using Principal Component Regression
Introduction
Experiment Design and Setup
Experimental Paradigm
Subjects
Data Analysis
Proposed MS Level Estimation System
Experimental Results and Discussions
References
A Sparse Common Spatial Pattern Algorithm for Brain-Computer Interface
Introduction
Sparse PCA and CSP Algorithms
Elastic Net
Sparse PCA
The Proposed Sparse CSP Algorithm
Complexity Analysis of the Proposed Sparse CSP Algorithm
Experiment
Experimental Setup
Data Processing
Experimental Results
Conclusions
References
EEG-Based Emotion Recognition Using Frequency Domain Features and Support Vector Machines
Introduction
Experiment Procedure
Stimulus Material and Presentation
Participants
Task
EEG Recording
Feature Extraction
Time-Domain Features
Frequency-Domain Features
Emotion Classification
Conclusion
References
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Neural Information Processing

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