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  • © 2015

Health Monitoring and Personalized Feedback using Multimedia Data

  • Examines the joint use of multimedia analysis and ambient assisted living, as sophisticated methods in these fields are being developed in parallel

  • Presents advances in sensing modalities occurring at very rapid rates, creating new possibilities for monitoring and analysis

  • Contributions from a wide variety of scientific fields combine to provide a comprehensive overview

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Table of contents (14 chapters)

  1. Front Matter

    Pages i-viii
  2. Overview of Multimedia in Healthcare

    • Alexia Briassouli, Jenny Benois-Pineau, Alexander Hauptmann
    Pages 1-6
  3. Multimedia Data Analysis

    1. Front Matter

      Pages 7-7
    2. Craniofacial Image Analysis

      • Ezgi Mercan, Indriyati Atmosukarto, Jia Wu, Shu Liang, Linda G. Shapiro
      Pages 9-29
    3. Mammographic Mass Description for Breast Cancer Recognition

      • Khalifa Djemal, Imene Cheikhrouhou, Hichem Maaref
      Pages 31-46
    4. Development, Debugging, and Assessment of ParkinsonCheck Attributes Through Visualisation

      • Vida Groznik, Martin Možina, Jure Žabkar, Dejan Georgiev, Ivan Bratko, Aleksander Sadikov
      Pages 47-71
    5. Meaningful Bags of Words for Medical Image Classification and Retrieval

      • Antonio Foncubierta Rodríguez, Alba García Seco de Herrera, Henning Müller
      Pages 73-93
    6. Multimedia Information Retrieval from Ophthalmic Digital Archives

      • Gwenolé Quellec, Mathieu Lamard, Béatrice Cochener, Guy Cazuguel
      Pages 95-114
    7. Characterisation of Data Quality in Electronic Healthcare Records

      • Sheena Dungey, Natalia Beloff, Rachael Williams, Tim Williams, Shivani Puri, A. Rosemary Tate
      Pages 115-135
  4. Multimedia Event and Activity Detection and Recognition for Health-Related Monitoring

    1. Front Matter

      Pages 137-137
    2. Activity Detection and Recognition of Daily Living Events

      • Konstantinos Avgerinakis, Alexia Briassouli, Ioannis Kompatsiaris
      Pages 139-160
    3. Recognition of Instrumental Activities of Daily Living in Egocentric Video for Activity Monitoring of Patients with Dementia

      • Iván González-Díaz, Vincent Buso, Jenny Benois-Pineau, Guillaume Bourmaud, Gaelle Usseglio, Rémi Mégret et al.
      Pages 161-178
    4. Combining Multiple Sensors for Event Detection of Older People

      • Carlos F. Crispim-Junior, Qiao Ma, Baptiste Fosty, Rim Romdhane, Francois Bremond, Monique Thonnat
      Pages 179-194
  5. Multimedia-Based Personalized Health Feedback Solutions

    1. Front Matter

      Pages 195-195
    2. Recommending Video Content for Use in Group-Based Reminiscence Therapy

      • Adam Bermingham, Niamh Caprani, Ronán Collins, Cathal Gurrin, Kate Irving, Julia O’Rourke et al.
      Pages 215-244
    3. Using Ontologies for Managing User Profiles in Personalised Mobile Service Delivery

      • Kerry-Louise Skillen, Chris Nugent, Mark Donnelly, Liming Chen, William Burns
      Pages 245-264
    4. Monitoring and Coaching the Use of Home Medical Devices

      • Yang Cai, Yi Yang, Alexander Hauptmann, Howard Wactlar
      Pages 265-283

About this book

This book presents how multimedia data analysis, information retrieval and indexing are central for comprehensive, personalized, adaptive quality care and the prolongation of independent living at home. With sophisticated technologies in monitoring, diagnosis, and treatment, multimodal data plays an increasingly central role in healthcare. Experts in computer vision, image processing, medical imaging, biomedical engineering, medical informatics, physical education and motor control, visual learning, nursing and human sciences, information retrieval, content based image retrieval, eHealth, information fusion, multimedia communications and human computer interaction come together to provide a thorough overview of multimedia analysis in medicine and daily life.

Editors and Affiliations

  • Centre for Research and Technology, Hellas, Information Technologies Institute, Thermi, Greece

    Alexia Briassouli

  • Laboratoire Bordelais de Recherche en Informatique/University Bordeaux, Talence, France

    Jenny Benois-Pineau

  • Computer Science Department, Carnegie Mellon University, Pittsburgh, USA

    Alexander Hauptmann

Bibliographic Information

  • Book Title: Health Monitoring and Personalized Feedback using Multimedia Data

  • Editors: Alexia Briassouli, Jenny Benois-Pineau, Alexander Hauptmann

  • DOI: https://doi.org/10.1007/978-3-319-17963-6

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer International Publishing Switzerland 2015

  • Hardcover ISBN: 978-3-319-17962-9Published: 10 July 2015

  • Softcover ISBN: 978-3-319-35783-6Published: 15 October 2016

  • eBook ISBN: 978-3-319-17963-6Published: 01 July 2015

  • Edition Number: 1

  • Number of Pages: VIII, 283

  • Number of Illustrations: 24 b/w illustrations, 81 illustrations in colour

  • Topics: Image Processing and Computer Vision, Information Systems and Communication Service, Signal, Image and Speech Processing

Buy it now

Buying options

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