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Ambient Intelligence: A Novel Paradigm
 
 
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Ambient Intelligence: A Novel Paradigm [Hardcover]

Gian Luca Foresti (Editor), Tim Ellis (Editor)

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Book Description

0387229906 978-0387229904 October 6, 2004 1

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.


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Editorial Reviews

Review

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)

From the Back Cover

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.


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Inside This Book (learn more)
First Sentence:
This introductory chapter describes Ambient Intelligence (AmI) from the perspectives of researchers working in the field of Artificial Intelligence and Computer Vision. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
order homotopy groups, overlapping camera views, execution monitoring system, foreground measurement, assisted elderly person, adaptation training data, handover agent, joint equivalences, handover region, people localization, static occlusion, ambient intelligence system, context aware information, foreground detection, coframe field, surveillance database, route classification, dynamic occlusion, foreground region, motion layer, object centroid, failure noise, stop zones, tracked object, embedded agent
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Kingston University, Dimitrios Makris, Tim Ellis, Gentle Introduction, International Symposium, James Black, Context Manager, Active Supervision Framework, Artech House
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