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Mobile Networks for Biometric Data Analysis

  • Conference proceedings
  • © 2016

Overview

Editors:
  1. Massimo Conti

    1. DIBET, Università Politecnica delle Marche Dipt di Ingegneria Biomed, Elettronica e, Ancona, Italy

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  2. Natividad Martínez Madrid

    1. Informatics, Reutlingen University, Reutlingen, Germany

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  3. Ralf Seepold

    1. Computer Science / Ubiquitous Computing Lab, HTWG Konstanz, Konstanz, Germany

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  4. Simone Orcioni

    1. Dipartimento di Ingegneria dell'Informazione, Università Politecnica delle Marche, Ancona, Italy

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  • 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)

  1. Front Matter

    Pages i-ix
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  2. ICT for Health Care

    1. Front Matter

      Pages 1-1
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    2. The Role of ICT in the Italian Health Care System

      • Maurizio Ciaschini, Monica De Angelis, Andrea Monteriù, Rosita Pretaroli, Francesca Severini, Claudio Socci
      Pages 3-17

    3. A Non-Intrusive Model for the Collection and Analysis of Data, Feedback and Needs

      • Lorenza Lupini, Francesca Scocchera
      Pages 19-25

    4. Analyzing Environmental Conditions and Vital Signs to Increase Healthy Living

      • Ralf Seepold, Christoph Dermati, Artur Kostka, Lars Pfeil, Ralf Lange, Matthias Hermann et al.
      Pages 27-39

    5. Preliminary Study of a Novel Shelving System for Nutrition Habits Measuring

      • Alessandro Freddi, Sauro Longhi, Andrea Monteriù, Davide Ortenzi, Mariorosario Prist
      Pages 41-50

    6. A Rule-Based Assistant System for Managing the Clothing Cycle

      • Thomas Walzer, Emre Yay, Natividad Martínez Madrid
      Pages 51-62

  3. Embedded Systems for Biometric Data Acquisition

    1. Front Matter

      Pages 63-63
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    2. State of Charge Monitor for Wireless Sensor Networks

      • Mirko Carloni, Rocco d’Aparo, Pierpaolo Scorrano, Berardo Naticchia, Massimo Conti
      Pages 65-78

    3. Development of an Algorithm and a Sensor to Monitor the Heart Rate by Volumetric Measurement Techniques

      • Jens Gansloser, Ralf Seepold
      Pages 79-89

    4. Piezoelectric Energy Harvesting on Running Shoes

      • Enrico Camilloni, Giuseppe DeMaso-Gentile, Cristiano Scavongelli, Simone Orcioni, Massimo Conti
      Pages 91-107

    5. Implementing Steganocryptography in Scanner and Angio-Scanner Medical Images

      • Indrit Enesi, Blerina Zanaj
      Pages 109-120

  4. Biometric Data in Automotive and Home Applications

    1. Front Matter

      Pages 121-121
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    2. Stress-Aware Generation of Recommendations in a Driving System to Increase User Acceptance

      • Emre Yay, Natividad Martínez Madrid
      Pages 123-133

    3. Stress Map Based Information System for Increasing Road Safety

      • Patrick Datko, Ralf Seepold, Natividad Martínez Madrid
      Pages 135-144

    4. An OpenCV Based Android Application for Drowsiness Detection on Mobile Devices

      • Laura Montanini, Ennio Gambi, Susanna Spinsante
      Pages 145-158

    5. Distributed Speech and Speaker Identification System for Personalized Domotic Control

      • 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
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    2. Surface EMG Fatigue Analysis by Means of Homomorphic Deconvolution

      • Giorgio Biagetti, Paolo Crippa, Simone Orcioni, Claudio Turchetti
      Pages 173-188

    3. sEMG-Based Evaluation of Muscle Recruitment Variability During Walking in Terms of Activation Length and Occurrence Frequency

      • A. Mengarelli, E. Maranesi, L. Burattini, S. Fioretti, F. Di Nardo
      Pages 189-203
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Keywords

About this book

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.

Editors and Affiliations

  • DIBET, Università Politecnica delle Marche Dipt di Ingegneria Biomed, Elettronica e, Ancona, Italy

    Massimo Conti

  • Informatics, Reutlingen University, Reutlingen, Germany

    Natividad Martínez Madrid

  • Computer Science / Ubiquitous Computing Lab, HTWG Konstanz, Konstanz, Germany

    Ralf Seepold

  • Dipartimento di Ingegneria dell'Informazione, Università Politecnica delle Marche, Ancona, Italy

    Simone Orcioni

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