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Physiological Computing Systems

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Cover of 'Physiological Computing Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Development and Assessment of a Self-paced BCI-VR Paradigm Using Multimodal Stimulation and Adaptive Performance
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    Chapter 2 Bio-behavioral Modeling of Workload and Performance
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    Chapter 3 Simple and Robust Automatic Detection and Recognition of Human Movement Patterns in Tasks of Different Complexity
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    Chapter 4 From Body Tracking Interaction in Floor Projection Displays to Elderly Cardiorespiratory Training Through Exergaming
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    Chapter 5 Looking for Emotions on a Single EEG Signal
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    Chapter 6 Detection of Artifacts Using a Non-invasive BCI on the Basis of Electroencephalography While Utilizing Low-Cost Off-the-Shelf Equipment
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    Chapter 7 A Data-Driven Model Based on Support Vector Machine to Identify Chronic Hypertensive and Diabetic Patients
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    Chapter 8 Inner Flower: Design and Evaluation of a Tangible Biofeedback for Relaxation
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    Chapter 9 Towards Industrial Assistance Systems: Experiences of Applying Multi-sensor Fusion in Harsh Environments
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    Chapter 10 Hand Gesture Recognition Based on EMG Data: A Convolutional Neural Network Approach
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    Chapter 11 Heart Rhythm Qualitative Analysis Using Low-Cost and Open Source Electrocardiography: A Study Based on Atrial Fibrillation Detection
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    Chapter 12 Integrating Biocybernetic Adaptation in Virtual Reality Training Concentration and Calmness in Target Shooting
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Title
Physiological Computing Systems
Published by
Springer International Publishing, January 2019
DOI 10.1007/978-3-030-27950-9
ISBNs
978-3-03-027949-3, 978-3-03-027950-9
Editors

Andreas Holzinger, Alan Pope, Hugo Plácido da Silva

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