Understanding the Brain Function and Emotions

Table of Contents

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   Book Overview
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   Chapter 2 Distinguishing Aging Clusters and Mobile Devices by Hand-Wrist Articulation: A Case of Study
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   Chapter 3 Hardware and Software for Integrating Brain–Computer Interface with Internet of Things
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   Chapter 4 How to Improve Spatial and Numerical Cognition with a Game-Based and Technology-Enhanced Learning Approach
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   Chapter 5 Ontologies for Early Detection of the Alzheimer Disease and Other Neurodegenerative Diseases
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   Chapter 6 Gaming the Attention with a SSVEP-Based Brain-Computer Interface
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   Chapter 7 Analysis of the Consumption of Household Appliances for the Detection of Anomalies in the Behaviour of Older People
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   Chapter 8 Autonomic Modulation During a Cognitive Task Using a Wearable Device
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   Chapter 9 The Assessment of Visuospatial Abilities with Tangible Interfaces and Machine Learning
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    Chapter 10 Midpoint: A Tool to Build Artificial Models of Numerical Cognition
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    Chapter 11 Cognitive AI Systems Contribute to Improving Creativity Modeling and Measuring Tools
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    Chapter 12 Neurolight Alpha: Interfacing Computational Neural Models for Stimulus Modulation in Cortical Visual Neuroprostheses
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    Chapter 13 Bootstrapping Autonomous Skill Learning in the MDB Cognitive Architecture
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    Chapter 14 HAPAN: Support Tool for Practicing Regional Anesthesia in Peripheral Nerves
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    Chapter 15 Group Differences in Time-Frequency Relevant Patterns for User-Independent BCI Applications
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    Chapter 16 Assessing an Application of Spontaneous Stressed Speech - Emotions Portal
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    Chapter 17 Empowering UX of Elderly People with Parkinson’s Disease via BCI Touch
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    Chapter 18 Real-Time Emotional Recognition for Sociable Robotics Based on Deep Neural Networks Ensemble
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    Chapter 19 Advanced Trajectory Generator for Two Carts with RGB-D Sensor on Circular Rail
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    Chapter 20 On the Use of Lateralization for Lightweight and Accurate Methodology for EEG Real Time Emotion Estimation Using Gaussian-Process Classifier
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    Chapter 21 Stress Identification from Electrodermal Activity by Support Vector Machines
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    Chapter 22 Trajectory Planning of a Quadrotor to Monitor Dependent People
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    Chapter 23 Development and Validation of Basic Virtual Human Facial Emotion Expressions
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    Chapter 24 Brushstrokes of the Emotional Brain: Cortical Asymmetries for Valence Dimension
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    Chapter 25 Multiple-Instance Lasso Regularization via Embedded Instance Selection for Emotion Recognition
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    Chapter 26 Emotion Detection in Aging Adults Through Continuous Monitoring of Electro-Dermal Activity and Heart-Rate Variability
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    Chapter 27 Game-Based Human-Robot Interaction Promotes Self-disclosure in People with Visual Impairments and Intellectual Disabilities
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    Chapter 28 A Short Review of Some Aspects of Computational Neuroethology
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    Chapter 29 Deep Learning Prediction of Gait Based on Inertial Measurements
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    Chapter 30 Recognizing Cognitive Activities Through Eye Tracking
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    Chapter 31 An Approach to Teach Nao Dialogue Skills
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    Chapter 32 Boosting Object Detection in Cyberphysical Systems
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    Chapter 33 Fusion of Inertial Motion Sensors and Electroencephalogram for Activity Detection
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    Chapter 34 BIOTHINGS: A Pipeline Creation Tool for PAR-CLIP Sequence Analsys
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    Chapter 35 Automating Autoencoder Architecture Configuration: An Evolutionary Approach
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    Chapter 36 Periodogram Connectivity of EEG Signals for the Detection of Dyslexia
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    Chapter 37 Isosurface Modelling of DatSCAN Images for Parkinson Disease Diagnosis
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    Chapter 38 An Anomaly Detection Approach for Dyslexia Diagnosis Using EEG Signals
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    Chapter 39 Comparison Between Affine and Non-affine Transformations Applied to I $$^{[123]}$$ [ 123 ] -FP-CIT SPECT Images Used for Parkinson’s Disease Diagnosis
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    Chapter 40 Deep Learning on Brain Images in Autism: What Do Large Samples Reveal of Its Complexity?
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    Chapter 41 Multivariate Pattern Analysis of Electroencephalography Data in a Demand-Selection Task
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    Chapter 42 Support Vector Machine Failure in Imbalanced Datasets
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    Chapter 43 Machine Learning Methods for Environmental-Enrichment-Related Variations in Behavioral Responses of Laboratory Rats