Editors:
- Describes innovative, non-intrusive approaches to biometric data capture and analysis
- Considers a wide range of examples, including in relation to EMG and ECG, gait analysis, and automotive applications
- Highlights the importance of the latest advances in sensor technology
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Electrical Engineering (LNEE, volume 392)
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Table of contents (25 papers)
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Front Matter
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ICT for Health Care
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Front Matter
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Embedded Systems for Biometric Data Acquisition
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Front Matter
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Biometric Data in Automotive and Home Applications
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Front Matter
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Biometric Data Analysis of Cardiac Signals
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Front Matter
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About this book
Editors and Affiliations
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DIBET, Università Politecnica delle Marche Dipt di Ingegneria Biomed, Elettronica e, Ancona, Italy
Massimo Conti
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Informatics, Reutlingen University, Reutlingen, Germany
Natividad Martínez Madrid
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Computer Science / Ubiquitous Computing Lab, HTWG Konstanz, Konstanz, Germany
Ralf Seepold
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Dipartimento di Ingegneria dell'Informazione, Università Politecnica delle Marche, Ancona, Italy
Simone Orcioni
Bibliographic Information
Book Title: Mobile Networks for Biometric Data Analysis
Editors: Massimo Conti, Natividad Martínez Madrid, Ralf Seepold, Simone Orcioni
Series Title: Lecture Notes in Electrical Engineering
DOI: https://doi.org/10.1007/978-3-319-39700-9
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-39698-9Published: 28 July 2016
Softcover ISBN: 978-3-319-81944-0Published: 30 May 2018
eBook ISBN: 978-3-319-39700-9Published: 27 July 2016
Series ISSN: 1876-1100
Series E-ISSN: 1876-1119
Edition Number: 1
Number of Pages: IX, 323
Number of Illustrations: 56 b/w illustrations, 104 illustrations in colour
Topics: Communications Engineering, Networks, Biometrics, Health Informatics, Biomedical Engineering and Bioengineering