Understanding the Brain Function and Emotions

Name: Understanding the Brain Function and Emotions | 8th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2019, Almería, Spain, June 3-7, 2019, Proceedings, Part I
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8th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2019, Almería, Spain, June 3-7, 2019, Proceedings, Part I

José Manuel Ferrández Vicente José Ramón Álvarez-Sánchez Félix de la Paz López Javier Toledo Moreo Hojjat Adeli(Editor)

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Published on 9. May 2019

XXIII, 432 pages

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978-3-030-19591-5 (ISBN)

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Content

Intro
Preface
Organization
Contents - Part I
Contents - Part II
Neuroscience Applications
The Effect of tDCS on EEG-Based Functional Connectivity in Gait Motor Imagery
1 Introduction
2 Materials and Methods
2.1 EEG Acquisition
2.2 TDCS Supply
2.3 Experimental Procedure
2.4 Partial Directed Coherence
2.5 EEG Processing and Analysis of Connectivities
3 Results
4 Conclusions
References
Distinguishing Aging Clusters and Mobile Devices by Hand-Wrist Articulation: A Case of Study
1 Introduction
2 Methods
2.1 Objectives
2.2 Methodology
2.3 Technical Description of Video Game
2.4 Framework and Hardware
2.5 Statistical Methods
3 Materials
3.1 Corpora
3.2 Control Group
3.3 Contrast Group
4 Results
5 Conclusions
References
Hardware and Software for Integrating Brain-Computer Interface with Internet of Things
1 Introduction
2 System Design and Architecture
2.1 EEG Device
2.2 Signal Processing and Classification
2.3 IoT Environment
3 Experimental Results
3.1 Off-line Experiments
3.2 On-line Experiments
4 Conclusions
References
How to Improve Spatial and Numerical Cognition with a Game-Based and Technology-Enhanced Learning Approach
1 Introduction
2 Spatial and Numerical Cognition
2.1 Numerical Cognition
2.2 Spatial Cognition
2.3 The Connection Between Spatial and Numerical Cognition
3 Spatial and Numerical Cognition in Education
4 Game-Based Learning to Improve Spatial and Numerical Cognition
5 Examples of Technology Enhanced Version of Cards and Building Blocks
5.1 Velocicards: An Application to Strenghten Numerical Abilities
5.2 Flatlandia Creatures
6 Conclusions and Future Directions
References
Ontologies for Early Detection of the Alzheimer Disease and Other Neurodegenerative Diseases
1 Introduction
2 Ontologies and Neurodegenerative Diseases
2.1 Ontologies for the Standardization in the Terminology
2.2 Ontologies for the Storage and Recovery of the Information
2.3 Ontologies as a Diagnosis Support
3 Conclusions
References
Gaming the Attention with a SSVEP-Based Brain-Computer Interface
1 Introduction
2 Materials and Methods
2.1 Subjects and Recording
2.2 Gameplay
2.3 Application Design
2.4 Stimulation
2.5 Attention Detection
3 Results
4 Discussion
5 Conclusions
References
Analysis of the Consumption of Household Appliances for the Detection of Anomalies in the Behaviour of Older People
1 Introduction
2 Problem Statement
2.1 Dataset
2.2 Data Preprocessing
2.3 Autoencoders for Anomaly Detection
2.4 Anomalies Classification
3 Experimentation
4 Conclusions
References
Autonomic Modulation During a Cognitive Task Using a Wearable Device
1 Introduction
2 Materials and Methods
3 Results
4 Discussion and Conclusions
References
The Assessment of Visuospatial Abilities with Tangible Interfaces and Machine Learning
1 Introduction
1.1 The Importance of Visuospatial Abilities
2 Assessment of Visuospatial Cognition
3 ETAN: The Assessment of Visuospatial Abilities by Means of a Technology Enhanced Platform
3.1 The Baking Tray Task (BTT)
3.2 Implementing BTT with ETAN
3.3 A Machine Learning Approach in Analyzing BTT Data
4 Future Directions and Conclusions
References
Midpoint: A Tool to Build Artificial Models of Numerical Cognition
1 Introduction
2 The Number Interval Position Effect in Children and Adults
2.1 The Task
2.2 The Model
3 The Simulation Software: Midpoint
3.1 Materials and Methods
3.2 Results and Discussion
4 Additional Materials
References
Cognitive AI Systems Contribute to Improving Creativity Modeling and Measuring Tools
1 Introduction
2 The Remote Associates Test and CreaCogs
3 Computational Solver for the Compound RAT - comRAT-C
4 Computational Generator of Compound RAT Queries - comRAT-G
5 Functional RAT and Its Computational Generator - fRAT and comRAT-GF
6 Visual Remote Associates Test - vRAT
7 Discussion and Perspectives
References
Neurolight Alpha: Interfacing Computational Neural Models for Stimulus Modulation in Cortical Visual Neuroprostheses
1 Introduction
2 System Overview
3 Software Interface Design
3.1 Modules Organization
3.2 Computational Neural Models and Image Preprocessing
3.3 Neurostimulator Control and Stimulation Strategy
3.4 Hardware Implementation
4 Discussion and Future Work
References
Bootstrapping Autonomous Skill Learning in the MDB Cognitive Architecture
1 Introduction
2 MDB Motivational Engine
3 Unrewarded Skill Acquisition and Interestingness
4 Experiment with Real Robot
5 Conclusions
References
HAPAN: Support Tool for Practicing Regional Anesthesia in Peripheral Nerves
1 Introduction
2 Materials and Methods
2.1 Database
2.2 Software Development
2.3 Methodologies
2.4 Tools
3 Experimental Results and Discussion
3.1 System Efficiency
3.2 Validation
3.3 Practical Results and Discussion
4 Conclusions and Future Work
References
Group Differences in Time-Frequency Relevant Patterns for User-Independent BCI Applications
1 Introduction
2 Materials
2.1 EEG Database and Preprocessing
2.2 Subject-Level Feature Extraction
2.3 Group Independent Components Analysis
3 Experimental Set-Up and Results
4 Discussion and Concluding Remarks
References
Affective Computing
Assessing an Application of Spontaneous Stressed Speech - Emotions Portal
1 Introduction
2 Previous Works
3 Methods and Materials
3.1 The Framework
3.2 Voice Donation
3.3 Stress Validation
3.4 Implementation
3.5 Corpora
4 Results and Discussion
5 Conclusions
References
Empowering UX of Elderly People with Parkinson's Disease via BCI Touch
1 Introduction and Motivation
2 Brain-Computer Interface Interaction in BCI Touch
3 BCI Touch System Description
3.1 Requirements
3.2 Structure of the Application
4 BCI Touch System Evaluation with Older People with PD
4.1 Evaluation Method
4.2 Results
5 Conclusions and Future Work
References
Real-Time Emotional Recognition for Sociable Robotics Based on Deep Neural Networks Ensemble
1 Introduction
2 Methods
2.1 Preprocessing
2.2 Ensemble Deep Network
3 Experimental Results
4 Discussions
5 Conclusions
References
Advanced Trajectory Generator for Two Carts with RGB-D Sensor on Circular Rail
1 Introduction
2 Trajectory Generator
2.1 Angles of the Cameras
2.2 Angular Positions of the Carts
2.3 Selection of the Carts' Roles
3 Study Case
4 Conclusions
References
On the Use of Lateralization for Lightweight and Accurate Methodology for EEG Real Time Emotion Estimation Using Gaussian-Process Classifier
1 Introduction
2 State of the Art
3 Methods
3.1 DEAP and SEED Databases
3.2 Preprocessing
3.3 Feature Extraction
3.4 Feature Selection
3.5 Classification
4 Experimental Results
5 Discussion
6 Conclusions
References
Stress Identification from Electrodermal Activity by Support Vector Machines
1 Introduction
2 Materials for EDA Signals Acquisition and Processing
3 Methods and Experiment Design
3.1 Participants
3.2 E-Prime and IAPS
3.3 Experiment Design
3.4 Electrodermal Activity Processing and Feature Extraction
3.5 Stress Identification by Support Vector Machines
4 Results
5 Conclusions
References
Trajectory Planning of a Quadrotor to Monitor Dependent People
1 Introduction
2 Quadrotor Dynamics
3 Control Algorithm
4 Trajectory Planning
5 Numerical Simulations
6 Conclusions
References
Development and Validation of Basic Virtual Human Facial Emotion Expressions
1 Introduction
2 Virtual Human Facial Expressions
2.1 Facial Action Coding System
2.2 Facial Expressions from FACS
2.3 Creation of Affective Virtual Humans
3 Preliminary Validation of Facial Expressions
3.1 Participants
3.2 Experiment Design
4 Results and Discussion
5 Conclusions
References
Brushstrokes of the Emotional Brain: Cortical Asymmetries for Valence Dimension
1 Introduction
2 Materials and Methods
2.1 Experimental Setup
2.2 Asymmetry Index (AI)
2.3 Differential Entropy
3 Results
3.1 Classical Asymmetry Index
3.2 DASM and RASM
3.3 DCAU
4 Discussion
References
Multiple-Instance Lasso Regularization via Embedded Instance Selection for Emotion Recognition
1 Introduction
2 Materials and Methods
2.1 DEAP Dataset and Preprocessing
2.2 Feature Extraction
2.3 Multiple Instance Learning-Based Representation
2.4 Classification and Performance Assessment
3 Results and Discussion
4 Conclusions and Future Work
References
Emotion Detection in Aging Adults Through Continuous Monitoring of Electro-Dermal Activity and Heart-Rate Variability
1 Introduction
2 Method
2.1 Participants
2.2 Procedure
2.3 Physiological Measures
2.4 Feature Extraction and Statistical Analysis
3 Results
4 Conclusions
References
Game-Based Human-Robot Interaction Promotes Self-disclosure in People with Visual Impairments and Intellectual Disabilities
1 Introduction
2 Materials and Methods
2.1 Participants
2.2 Aim of the Study
2.3 Human-Robot Interactions Design Methods
2.4 Materials
2.5 Procedure and Data Collection
3 Implementation
4 Results
4.1 Interview Questions and Five-Point Smiley Face Scale
4.2 Audio Transcription Self-disclosing Statements
5 Discussion
References
Neuroethology
A Short Review of Some Aspects of Computational Neuroethology
1 Introduction
2 Animal and Human Models
3 Data Resources
4 Computational and Data Capture Systems
5 Concluding Remarks
References
Deep Learning Prediction of Gait Based on Inertial Measurements
1 Introduction
2 Gait Characterization
3 Human Activity Recognition Using IMUs
4 System Description
5 Empirical Results
6 Conclusions
References
Recognizing Cognitive Activities Through Eye Tracking
1 Introduction
2 Identifying Eye Movements
3 Getting Features from Images
4 Defining Activities
5 Recognizing Activities
6 Conclusions and Further Work
References
An Approach to Teach Nao Dialogue Skills
1 Introduction
2 Architectures of Dialogue Systems
3 Social Robots and Children with ASD
4 On Going Development of Spoken Dialog Interface for the Nao
5 Conclusions
References
Boosting Object Detection in Cyberphysical Systems
1 Introduction
2 Multi-class Boosting Algorithm
2.1 BAdaCost: Cost-Sensitive Multi-class Boosting Classification
2.2 Object Detection Score for BAdaCost
3 Bounding Box Aspect Ratio Estimation
4 Experiments
5 Conclusions
References
Fusion of Inertial Motion Sensors and Electroencephalogram for Activity Detection
1 Introduction
2 Data Capture and Data Processing
3 Some Preliminary Results
4 Concluding Remarks
References
BIOTHINGS: A Pipeline Creation Tool for PAR-CLIP Sequence Analsys
1 Introduction
1.1 What Is PAR-CLIP?
1.2 Contributions in this Paper
2 Data Processing General Schema
3 Algorithms for Peak Calling
3.1 BMix
3.2 PARalyzer
4 BIOTHINGS
5 Conclusions
References
Machine Learning in Neuroscience
Automating Autoencoder Architecture Configuration: An Evolutionary Approach
1 Introduction
2 Preliminaries
2.1 Feature Engineering
2.2 Autoencoders
2.3 Evolutionary Optimization
3 Learning AE Configuration Through Evolution
3.1 Coding AE Structure in a Chromosome
3.2 Evolutionary Approaches
4 Experiments
4.1 Small-Scale Case Study
4.2 Large-Scale Case Study
4.3 Summary of Results
5 Final Thoughts
References
Periodogram Connectivity of EEG Signals for the Detection of Dyslexia
1 Introduction
2 Materials and Methods
2.1 EEG Dataset
2.2 Spectral Estimation
2.3 Connectivity Features
2.4 Principal Component Analysis
2.5 Experimental Setup and Evaluation
3 Results and Discussion
3.1 Classification Results
3.2 Visual Analysis of the Differences
4 Conclusions
References
Isosurface Modelling of DatSCAN Images for Parkinson Disease Diagnosis
1 Introduction
2 Related Work
3 Materials
4 Methods
4.1 Feature Extraction Using Isosurfaces
4.2 CNNs for Classification
5 Results and Discussion
6 Conclusions
References
An Anomaly Detection Approach for Dyslexia Diagnosis Using EEG Signals
1 Introduction
2 Materials and Methods
2.1 Database
3 Methods
3.1 Feature Extraction
3.2 Feature Selection
3.3 Classification
4 Results and Discussion
5 Conclusions and Future Work
References
Comparison Between Affine and Non-affine Transformations Applied to I[123]-FP-CIT SPECT Images Used for Parkinson's Disease Diagnosis
1 Introduction
2 Methods
2.1 Dataset
2.2 Spatial Normalization
2.3 Evaluation
3 Results
4 Discusion
5 Conclusions
References
Deep Learning on Brain Images in Autism: What Do Large Samples Reveal of Its Complexity?
1 Introduction
2 Methods
2.1 Datasets and Preprocessing
2.2 Neural Network Model and Training
2.3 Set Division
2.4 Test Set Evaluation
2.5 Experiments
3 Results
3.1 Gender Comparison
3.2 Task vs Rest (No Task)
3.3 Autism vs TD Controls
4 Discussion
5 Conclusion
References
Multivariate Pattern Analysis of Electroencephalography Data in a Demand-Selection Task
1 Introduction
2 Materials and Methods
3 Results and Discussion
4 Conclusion
References
Support Vector Machine Failure in Imbalanced Datasets
1 Introduction
2 Methods
2.1 Support Vector Machines
3 SVM Failure
3.1 All Support Vectors
4 Experiments
5 Discussion
6 Conclusion
References
Machine Learning Methods for Environmental-Enrichment-Related Variations in Behavioral Responses of Laboratory Rats
1 Introduction
2 Materials and Methods
2.1 Experimental Design and Housing Conditions
2.2 Image Processing
2.3 Clustering and Trajectory Generation
2.4 Non-linear Trajectory Analysis-Calculation of the Shannon Entropy
2.5 Machine Learning Paradigms
3 Results and Discussion
4 Conclusions and Future Work
References
Correction to: Boosting Object Detection in Cyberphysical Systems
Correction to: Chapter "Boosting Object Detection in Cyberphysical Systems" in: J. M. Ferrández Vicente et al. (Eds.): Understanding the Brain Function and Emotions, LNCS 11486, https://doi.org/10.1007/978-3-030-19591-5_32
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Understanding the Brain Function and Emotions

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