Skip to main content
SpringerLink
Log in

Quantifying and Processing Biomedical and Behavioral Signals

  • Book
  • © 2019

Overview

Editors:
  1. Anna Esposito

    1. Dipartimento di Psicologia, Università della Campania “Luigi Vanvitelli”, Caserta, Italy

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Marcos Faundez-Zanuy

    1. Fundació Tecnocampus, Pompeu Fabra University, Mataro, Spain

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Francesco Carlo Morabito

    1. Department of Civil, Environmental, Energy, and Material Engineering, University Mediterranea of Reggio Calabria, Reggio Calabria, Italy

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  4. Eros Pasero

    1. Dipartimento di Elettronica e Telecomunicazioni, Laboratorio di Neuronica, Politecnico di Torino, Turin, Italy

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Covers various scientific areas in machine learning, artificial neural networks, social and biometric data for applications in human–computer interactions
  • Presents recent research in dynamic signal exchanges and demonstrates how these advances can characterize a more friendly human–machine interaction
  • Proposes approaches to measure and quantify human behavior for the implementation of autonomous, and complex human–computer Interfaces
  • Considers key aspects of the integration of algorithms and procedures for the recognition of dynamic (faces, speech, gaits, EEGs, brain and speech waves) signals, in anticipation of the implementation of useful applications such as intelligent avatars, interactive dialog systems, and reliable complex autonomous systems for human signal’s detection and identification
  • Includes contributions from leading authorities in their respective fields

Part of the book series: Smart Innovation, Systems and Technologies (SIST, volume 103)

Included in the following conference series:

Conference proceedings info: WIRN 2017 2017.

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (25 chapters)

  1. Front Matter

    Pages i-xi
    Download chapter PDF

  2. Introduction

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. A Human-Centered Behavioral Informatics

      • Anna Esposito, Marcos Faundez-Zanuy, Francesco Carlo Morabito, Eros Pasero
      Pages 3-8

  3. Dynamics of Signal Exchanges

    1. Front Matter

      Pages 9-9
      Download chapter PDF

    2. Wearable Devices for Self-enhancement and Improvement of Plasticity: Effects on Neurocognitive Efficiency

      • Michela Balconi, Davide Crivelli
      Pages 11-22

    3. Age and Culture Effects on the Ability to Decode Affect Bursts

      • Anna Esposito, Antonietta M. Esposito, Filomena Scibelli, Mauro N. Maldonato, Carl Vogel
      Pages 23-34

    4. Adults’ Implicit Reactions to Typical and Atypical Infant Cues

      • Vincenzo Paolo Senese, Francesca Santamaria, Ida Sergi, Gianluca Esposito
      Pages 35-43

    5. Adults’ Reactions to Infant Cry and Laugh: A Multilevel Study

      • Vincenzo Paolo Senese, Federico Cioffi, Raffaella Perrella, Augusto Gnisci
      Pages 45-55

    6. Olfactory and Haptic Crossmodal Perception in a Visual Recognition Task

      • S. Invitto, A. Calcagnì, M. de Tommaso, Anna Esposito
      Pages 57-71

    7. Handwriting and Drawing Features for Detecting Negative Moods

      • Gennaro Cordasco, Filomena Scibelli, Marcos Faundez-Zanuy, Laurence Likforman-Sulem, Anna Esposito
      Pages 73-86

    8. Content-Based Music Agglomeration by Sparse Modeling and Convolved Independent Component Analysis

      • Mario Iannicelli, Davide Nardone, Angelo Ciaramella, Antonino Staiano
      Pages 87-96

    9. Oressinergic System: Network Between Sympathetic System and Exercise

      • Vincenzo Monda, Raffaele Sperandeo, Nelson Mauro Maldonato, Enrico Moretto, Silvia Dell’Orco, Elena Gigante et al.
      Pages 97-107

    10. Experimental Analysis of in-Air Trajectories at Long Distances in Online Handwriting

      • Carlos Alonso-Martinez, Marcos Faundez-Zanuy
      Pages 109-118

    11. Multi-sensor Database for Cervical Area: Inertial, EEG and Thermography Data

      • Xavi Font, Carles Paul, Joan Moreno
      Pages 119-125

    12. Consciousness and the Archipelago of Functional Integration: On the Relation Between the Midbrain and the Ascending Reticular Activating System

      • Nelson Mauro Maldonato, Anna Esposito, Silvia Dell’Orco
      Pages 127-134

    13. Does Neuroeconomics Really Need the Brain?

      • Nelson Mauro Maldonato, Luigi Maria Sicca, Antonietta M. Esposito, Raffaele Sperandeo
      Pages 135-141

    14. Coherence-Based Complex Network Analysis of Absence Seizure EEG Signals

      • Nadia Mammone, Cosimo Ieracitano, Jonas Duun-Henriksen, Troels Wesenberg Kjaer, Francesco Carlo Morabito
      Pages 143-153

    15. Evolution Characterization of Alzheimer’s Disease Using eLORETA’s Three-Dimensional Distribution of the Current Density and Small-World Network

      • Giuseppina Inuso, Fabio La Foresta, Nadia Mammone, Serena Dattola, Francesco Carlo Morabito
      Pages 155-162

    16. Kendon Model-Based Gesture Recognition Using Hidden Markov Model and Learning Vector Quantization

      • Domenico De Felice, Francesco Camastra
      Pages 163-171

    17. Blood Vessel Segmentation in Retinal Fundus Images Using Hypercube NeuroEvolution of Augmenting Topologies (HyperNEAT)

      • Francesco Calimeri, Aldo Marzullo, Claudio Stamile, Giorgio Terracina
      Pages 173-183
Back to top

Keywords

About this book

The book is based on interdisciplinary research on various aspects and dynamics of human multimodal signal exchanges. It discusses realistic application scenarios where human interaction is the focus, in order to

  • identify new methods for data processing and data flow coordination through synchronization, and optimization of new encoding features combining contextually enacted communicative signals, and
  • develop shared digital data repositories and annotation standards for benchmarking the algorithmic feasibility and successive implementation of believable human–computer interaction (HCI) systems.

This book is a valuable resource for 

a.  the research community, PhD students, early stage researchers

c.  schools, hospitals, and rehabilitation and assisted-living centers

e.  the ICT market, and representatives from multimedia industries



Editors and Affiliations

  • Dipartimento di Psicologia, Università della Campania “Luigi Vanvitelli”, Caserta, Italy

    Anna Esposito

  • Fundació Tecnocampus, Pompeu Fabra University, Mataro, Spain

    Marcos Faundez-Zanuy

  • Department of Civil, Environmental, Energy, and Material Engineering, University Mediterranea of Reggio Calabria, Reggio Calabria, Italy

    Francesco Carlo Morabito

  • Dipartimento di Elettronica e Telecomunicazioni, Laboratorio di Neuronica, Politecnico di Torino, Turin, Italy

    Eros Pasero

Bibliographic Information

  • Book Title: Quantifying and Processing Biomedical and Behavioral Signals

  • Editors: Anna Esposito, Marcos Faundez-Zanuy, Francesco Carlo Morabito, Eros Pasero

  • Series Title: Smart Innovation, Systems and Technologies

  • DOI: https://doi.org/10.1007/978-3-319-95095-2

  • Publisher: Springer Cham

  • eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

  • Copyright Information: Springer International Publishing AG, part of Springer Nature 2019

  • Hardcover ISBN: 978-3-319-95094-5Published: 27 August 2018

  • Softcover ISBN: 978-3-030-06976-6Published: 20 December 2018

  • eBook ISBN: 978-3-319-95095-2Published: 17 August 2018

  • Series ISSN: 2190-3018

  • Series E-ISSN: 2190-3026

  • Edition Number: 1

  • Number of Pages: XI, 274

  • Number of Illustrations: 18 b/w illustrations, 65 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence

Publish with us

Policies and ethics

Back to top

Search

Navigation