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Biomedizinische Signalverarbeitung für die automatisierte Erkennung von Schlafarousals, basierend auf Multi-Physiologischen Signalen mit Ensemble-Lernmethoden
Schlafbezogene Atmungsstörungen wie Schlafapnoe und Hypopnoe sind potenziell ernste Störungen und können die Ursache für eine Vielzahl von...
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Verbesserung der Erkennung des Arbeitsgedächtnisses von Demenz-Patienten mithilfe von Entropie-basierten Merkmalen und dem Local Tangent Space Alignment Algorithmus
Die Erkennung von Demenz stellt eine Barriere für die Weiterentwicklung der individualisierten Gesundheitsversorgung dar. Die nicht-lineare Natur von...
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Überblick über die Klassifizierung von EEG-Signalen mit maschinellem Lernen und Deep-Learning-Techniken
Elektroenzephalographie-Signale (EEG-Signale) werden weit verbreitet für die Prognose und Diagnose mehrerer Störungen verwendet, wie zum Beispiel...
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Fortschritte in der Analyse des Elektrokardiogramms im Kontext des Massenscreenings: Technologische Trends und Anwendung der KI-Anomalieerkennung
Die Elektrokardiographie ist nach wie vor die am weitesten verbreitete Methode der Funktionsdiagnose. Das Kapitel richtet sich an die Debatte über...
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Acoustic Compensation System Against Adversarial Voice Recognition
Automatic speech recognition (ASR) provides diverse audio-to-text services for humans to communicate with machines. However, recent researches reveal...
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Adversarial Attacks on Face Recognition
Face recognition is becoming a prevailing authentication solution in numerous biometric applications thanks to the rapid development of deep neural...
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Facial Landmark Localization
Facial landmark localization aims to detect a sparse set of facial fiducial points on a human face, some of which include “eye corner”, “nose tip”,...
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Heterogeneous Face Recognition
Face recognition is one of the most important applications in computer vision. This is because face recognition could achieve efficient and...
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Uncertainty-Aware Face Recognition
In this chapter, we introduced the motivation of data uncertainty estimation in deep face recognition systems as well as its applications. From a...
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Feature Extraction by Convolutional Neural Network
An optimal map** from pixel values to class labels by a MLP requires too many nodes and layers for successful training. Convolutional neural...
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Feature Reduction
Image information has already been reduced when constructing the feature vector from primary image features. The reduction is based on heuristic...
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Image Features: Extraction and Categories
We introduce feature-based image classification. Extracted features reduce the data of an image by several orders of magnitude. Ideally, they...
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Fortschritte in der nicht-invasiven biomedizinischen Signalverarbeitung mit ML
Dieses Buch präsentiert Fortschritte in der biomedizinischen Technologie. IoT und Machine Learning haben neue Ansätze im mobilen Gesundheitswesen...
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An Introduction to Image Classification From Designed Models to End-to-End Learning
Image classification is a critical component in computer vision tasks and has numerous applications. Traditional methods for image classification...
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Conclusion
This chapter concludes the book. Firstly, the book is summarised and some of the key points from each of the chapters are provided. The summary first...
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Continuous Authentication
This chapter introduces continuous biometric authentication. Initially the concept is introduced and the key components are discussed. The device...
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Introduction
The demand for user devices has grown rapidly in the last decade. This has been facilitated by technological advancements making devices cheaper,...
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Modulated Audio Replay Attack and Dual-Domain Defense
Automatic speech recognition (ASR) systems have been widely deployed in modern smart devices to provide convenient and diverse voice-controlled...
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Introduction
In this chapter, we will introduce the background knowledge of audio signal processing, voice processing systems, and attacks on speaker verification...
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Conclusion and Future Work
In this chapter, we summarize this book and put forward the potential research directions in the future.