© 2016

Mobile Networks for Biometric Data Analysis

  • Massimo Conti
  • Natividad Martínez Madrid
  • Ralf Seepold
  • Simone Orcioni
Conference proceedings

Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 392)

Table of contents

  1. Front Matter
    Pages i-ix
  2. ICT for Health Care

    1. Front Matter
      Pages 1-1
    2. Maurizio Ciaschini, Monica De Angelis, Andrea Monteriù, Rosita Pretaroli, Francesca Severini, Claudio Socci
      Pages 3-17
    3. Ralf Seepold, Christoph Dermati, Artur Kostka, Lars Pfeil, Ralf Lange, Matthias Hermann et al.
      Pages 27-39
    4. Alessandro Freddi, Sauro Longhi, Andrea Monteriù, Davide Ortenzi, Mariorosario Prist
      Pages 41-50
    5. Thomas Walzer, Emre Yay, Natividad Martínez Madrid
      Pages 51-62
  3. Embedded Systems for Biometric Data Acquisition

    1. Front Matter
      Pages 63-63
    2. Mirko Carloni, Rocco d’Aparo, Pierpaolo Scorrano, Berardo Naticchia, Massimo Conti
      Pages 65-78
    3. Enrico Camilloni, Giuseppe DeMaso-Gentile, Cristiano Scavongelli, Simone Orcioni, Massimo Conti
      Pages 91-107
  4. Biometric Data in Automotive and Home Applications

    1. Front Matter
      Pages 121-121
    2. Patrick Datko, Ralf Seepold, Natividad Martínez Madrid
      Pages 135-144
    3. Laura Montanini, Ennio Gambi, Susanna Spinsante
      Pages 145-158
    4. Giorgio Biagetti, Paolo Crippa, Laura Falaschetti, Simone Orcioni, Claudio Turchetti
      Pages 159-170
  5. Biometric Data Analysis of Cardiac Signals

    1. Front Matter
      Pages 171-171
    2. Giorgio Biagetti, Paolo Crippa, Simone Orcioni, Claudio Turchetti
      Pages 173-188

About these proceedings


This book showcases new and innovative approaches to biometric data capture and analysis, focusing especially on those that are characterized by non-intrusiveness, reliable prediction algorithms, and high user acceptance. It comprises the peer-reviewed papers from the international workshop on the subject that was held in Ancona, Italy, in October 2014 and featured sessions on ICT for health care, biometric data in automotive and home applications, embedded systems for biometric data analysis, biometric data analysis: EMG and ECG, and ICT for gait analysis. The background to the book is the challenge posed by the prevention and treatment of common, widespread chronic diseases in modern, aging societies. Capture of biometric data is a cornerstone for any analysis and treatment strategy. The latest advances in sensor technology allow accurate data measurement in a non-intrusive way, and in many cases it is necessary to provide online monitoring and real-time data capturing to support a patient’s prevention plans or to allow medical professionals to access the patient’s current status. This book will be of value to all with an interest in this expanding field.


Active Ageing Ambient Assisted Living Ambient Intelligence Biometric Data Capture Embedded Systems ICT for Health Care Wireless Sensor Network mBIDA 2014

Editors and affiliations

  • Massimo Conti
    • 1
  • Natividad Martínez Madrid
    • 2
  • Ralf Seepold
    • 3
  • Simone Orcioni
    • 4
  1. 1.DIBETUniversità Politecnica delle Marche Dipt di Ingegneria Biomed, Elettronica eAnconaItaly
  2. 2.InformaticsReutlingen UniversityReutlingenGermany
  3. 3.Computer Science / Ubiquitous Computing LabHTWG KonstanzKonstanzGermany
  4. 4.Dipartimento di Ingegneria dell'InformazioneUniversità Politecnica delle MarcheAnconaItaly

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
  • Series Abbreviated Title Lect. Notes Electrical Eng.
  • DOI
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Hardcover ISBN 978-3-319-39698-9
  • Softcover ISBN 978-3-319-81944-0
  • eBook ISBN 978-3-319-39700-9
  • 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
    Health Informatics
    Biomedical Engineering and Bioengineering
  • Buy this book on publisher's site
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