© 2005

Ambient Intelligence

A Novel Paradigm

  • Paolo Remagnino
  • Gian Luca Foresti
  • Tim Ellis

Table of contents

  1. Front Matter
    Pages i-xiii
  2. P. Remagnino, H. Hagras, N. Monekosso, S. Velastin
    Pages 1-14
  3. S. Bahadori, A. Cesta, L. Iocchi, G.R. Leone, D. Nardi, F. Pecora et al.
    Pages 15-38
  4. P. Marti, H.H. Lund
    Pages 39-61
  5. S. Piva, R. Singh, M. Gandetto, C.S. Regazzoni
    Pages 63-87
  6. A. Senior, A. Hampapur, L. Brown, Y-L. Tian, C-F. Shu, S. Pankanti
    Pages 89-105
  7. T. Ellis, J. Black, M. Xu, D. Makris
    Pages 107-138
  8. D. Makris, T. Ellis, J. Black
    Pages 139-163
  9. S. Ramalingam, D. Ambaye
    Pages 177-197
  10. G.L. Foresti, C. Micheloni, L. Snidaro, P. Remagnino
    Pages 199-211
  11. A.H. Salden, Ma Kempen
    Pages 213-238
  12. Back Matter
    Pages 239-240

About this book


Ambient Intelligence (AmI) is an integrating technology for supporting a pervasive and transparent infrastructure for implementing smart environments. Such technology is used to enable environments for detecting events and behaviors of people and for responding in a contextually relevant fashion. AmI proposes a multi-disciplinary approach for enhancing human machine interaction.

Ambient Intelligence: A Novel Paradigm is a compilation of edited chapters describing current state-of-the-art and new research techniques including those related to intelligent visual monitoring, face and speech recognition, innovative education methods, as well as smart and cognitive environments.

The authors start with a description of the iDorm as an example of  a smart environment conforming to the AmI paradigm, and introduces computer vision as an important component of the system. Other computer vision examples describe visual monitoring for the elderly, classic and novel surveillance techniques using clusters of cameras installed in indoor and outdoor application domains, and the monitoring of public spaces. Face and speech recognition systems are also covered as well as enhanced LEGO blocks for novel educational purposes. The book closes with a provocative chapter on how a cybernetic system can be designed as the backbone of a human machine interaction.


ambient intelligence cognitive environment computer vision domestic care face recognition smart environment speech recognition surveillance

Editors and affiliations

  • Paolo Remagnino
    • 1
  • Gian Luca Foresti
    • 2
  • Tim Ellis
    • 3
  1. 1.Digital Imaging Research CentreKingston UniversityLondon
  2. 2.DIMI, Universitat’ di UdineItaly
  3. 3.Digital Imaging Research CentreKingston UniversityLondon

Bibliographic information

Industry Sectors
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From the reviews:

"This book is a collection of edited chapters that describe current and emerging research techniques that show promise for AmI. … This book provides a useful introduction to AmI, particularly for those with an interest in computer vision. The writing and organization are good." (M.G. Murphy, Computing Reviews, February, 2005)