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Author: Kim Ho Yeap
Publisher: Cambridge Scholars Publishing
ISBN: 1036402428
Category : Computers
Languages : en
Pages : 176
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Book Description
In an era where ensuring security is of utmost importance, biometric identification emerges as a fundamental aspect, capitalizing on unique biological signals that are impossible to replicate. This groundbreaking study introduces an innovative approach to authentication by harnessing photoplethysmographic (PPG) signals, which are renowned for their accessibility and cost-effectiveness. Delve into a realm where optical sensors extract PPG signals, unveiling their potential as inherently distinctive biometric traits. By drawing insights from biometric datasets of 40 subjects, this book meticulously demonstrates the effectiveness of PPG signals under controlled conditions. More than ten thousand feature sets are analyzed, revealing the superiority of the Support Vector Machine (SVM) model with an exceptional accuracy rate of 99.46%. This publication reveals the culmination of a project that revolutionizes biometric personal identification, with a specific focus on critical sectors such as banking, military, and information technology.
Author: Kim Ho Yeap
Publisher: Cambridge Scholars Publishing
ISBN: 1036402428
Category : Computers
Languages : en
Pages : 176
Get Book Here
Book Description
In an era where ensuring security is of utmost importance, biometric identification emerges as a fundamental aspect, capitalizing on unique biological signals that are impossible to replicate. This groundbreaking study introduces an innovative approach to authentication by harnessing photoplethysmographic (PPG) signals, which are renowned for their accessibility and cost-effectiveness. Delve into a realm where optical sensors extract PPG signals, unveiling their potential as inherently distinctive biometric traits. By drawing insights from biometric datasets of 40 subjects, this book meticulously demonstrates the effectiveness of PPG signals under controlled conditions. More than ten thousand feature sets are analyzed, revealing the superiority of the Support Vector Machine (SVM) model with an exceptional accuracy rate of 99.46%. This publication reveals the culmination of a project that revolutionizes biometric personal identification, with a specific focus on critical sectors such as banking, military, and information technology.
Author: Gaurav Jaswal
Publisher: CRC Press
ISBN: 1000291626
Category : Computers
Languages : en
Pages : 379
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Book Description
This book provides an in-depth overview of artificial intelligence and deep learning approaches with case studies to solve problems associated with biometric security such as authentication, indexing, template protection, spoofing attack detection, ROI detection, gender classification etc. This text highlights a showcase of cutting-edge research on the use of convolution neural networks, autoencoders, recurrent convolutional neural networks in face, hand, iris, gait, fingerprint, vein, and medical biometric traits. It also provides a step-by-step guide to understanding deep learning concepts for biometrics authentication approaches and presents an analysis of biometric images under various environmental conditions. This book is sure to catch the attention of scholars, researchers, practitioners, and technology aspirants who are willing to research in the field of AI and biometric security.
Author: Mohan S
Publisher: Springer Science & Business Media
ISBN: 8132209974
Category : Technology & Engineering
Languages : en
Pages : 622
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Book Description
The proceedings includes cutting-edge research articles from the Fourth International Conference on Signal and Image Processing (ICSIP), which is organised by Dr. N.G.P. Institute of Technology, Kalapatti, Coimbatore. The Conference provides academia and industry to discuss and present the latest technological advances and research results in the fields of theoretical, experimental, and application of signal, image and video processing. The book provides latest and most informative content from engineers and scientists in signal, image and video processing from around the world, which will benefit the future research community to work in a more cohesive and collaborative way.
Author: Panicos A. Kyriacou
Publisher: Academic Press
ISBN: 012823525X
Category : Technology & Engineering
Languages : en
Pages : 508
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Book Description
Photoplethysmography: Technology, Signal Analysis, and Applications is the first comprehensive volume on the theory, principles, and technology (sensors and electronics) of photoplethysmography (PPG). It provides a detailed description of the current state-of-the-art technologies/optical components enabling the extreme miniaturization of such sensors, as well as comprehensive coverage of PPG signal analysis techniques including machine learning and artificial intelligence. The book also outlines the huge range of PPG applications in healthcare, with a strong focus on the contribution of PPG in wearable sensors and PPG for cardiovascular assessment. - Presents the underlying principles and technology surrounding PPG - Includes applications for healthcare and wellbeing - Focuses on PPG in wearable sensors and devices - Presents advanced signal analysis techniques - Includes cutting-edge research, applications and future directions
Author: Gaetano D. Gargiulo
Publisher: Springer Nature
ISBN: 9811653240
Category : Technology & Engineering
Languages : en
Pages : 298
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Book Description
This book discusses recent advances in wearable technologies and personal monitoring devices, covering topics such as skin contact-based wearables (electrodes), non-contact wearables, the Internet of things (IoT), and signal processing for wearable devices. Although it chiefly focuses on wearable devices and provides comprehensive descriptions of all the core principles of personal monitoring devices, the book also features a section on devices that are embedded in smart appliances/furniture, e.g. chairs, which, despite their limitations, have taken the concept of unobtrusiveness to the next level. Wearable and personal devices are the key to precision medicine, and the medical community is finally exploring the opportunities offered by long-term monitoring of physiological parameters that are collected during day-to-day life without the bias imposed by the clinical environment. Such data offers a prime view of individuals’ physical condition, as well as the efficacy of therapy and occurrence of events. Offering an in-depth analysis of the latest advances in smart and pervasive wearable devices, particularly those that are unobtrusive and invisible, and addressing topics not covered elsewhere, the book will appeal to medical practitioners and engineers alike.
Author: Hannu Eskola
Publisher: Springer
ISBN: 9811051224
Category : Technology & Engineering
Languages : en
Pages : 1168
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Book Description
This volume presents the proceedings of the joint conference of the European Medical and Biological Engineering Conference (EMBEC) and the Nordic-Baltic Conference on Biomedical Engineering and Medical Physics (NBC), held in Tampere, Finland, in June 2017. The proceedings present all traditional biomedical engineering areas, but also highlight new emerging fields, such as tissue engineering, bioinformatics, biosensing, neurotechnology, additive manufacturing technologies for medicine and biology, and bioimaging, to name a few. Moreover, it emphasizes the role of education, translational research, and commercialization.
Author: Madhusudan Singh
Publisher: Springer Nature
ISBN: 3030684490
Category : Computers
Languages : en
Pages : 526
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Book Description
The two-volume set LNCS 12615 + 12616 constitutes the refereed proceedings of the 12th International Conference on Intelligent Human Computer Interaction, IHCI 2020, which took place in Daegu, South Korea, during November 24-26, 2020. The 75 full and 18 short papers included in these proceedings were carefully reviewed and selected from a total of 185 submissions. The papers were organized in topical sections named: cognitive modeling and system; biomedical signal processing and complex problem solving; natural language, speech, voice and study; algorithm and related applications; crowd sourcing and information analysis; intelligent usability and test system; assistive living; image processing and deep learning; and human-centered AI applications.
Author: Anand Nayyar
Publisher: Springer Nature
ISBN: 3030942856
Category : Technology & Engineering
Languages : en
Pages : 211
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Book Description
This book presents the Fifth International Conference on Safety and Security with IoT (SaSeIoT 2021), which took place online. The conference aims to explore not only IoT and its related critical applications but also IoT towards Security and Safety. The conference solicits original and inspiring research contributions from experts, researchers, designers, and practitioners in academia, industry and related fields and provides a common platform to share knowledge, experience and best practices in various domains of IoT.
Author:
Publisher: Academic Conferences and publishing limited
ISBN: 1914587413
Category : History
Languages : en
Pages :
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Book Description
Author: Kemal Polat
Publisher: Elsevier
ISBN: 0323996817
Category : Computers
Languages : en
Pages : 303
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Book Description
Diagnostic Biomedical Signal and Image Processing Applications with Deep Learning Methods presents comprehensive research on both medical imaging and medical signals analysis. The book discusses classification, segmentation, detection, tracking and retrieval applications of non-invasive methods such as EEG, ECG, EMG, MRI, fMRI, CT and X-RAY, amongst others. These image and signal modalities include real challenges that are the main themes that medical imaging and medical signal processing researchers focus on today. The book also emphasizes removing noise and specifying dataset key properties, with each chapter containing details of one of the medical imaging or medical signal modalities. Focusing on solving real medical problems using new deep learning and CNN approaches, this book will appeal to research scholars, graduate students, faculty members, R&D engineers, and biomedical engineers who want to learn how medical signals and images play an important role in the early diagnosis and treatment of diseases. - Investigates novel concepts of deep learning for acquisition of non-invasive biomedical image and signal modalities for different disorders - Explores the implementation of novel deep learning and CNN methodologies and their impact studies that have been tested on different medical case studies - Presents end-to-end CNN architectures for automatic detection of situations where early diagnosis is important - Includes novel methodologies, datasets, design and simulation examples
