Ambient Intelligence and Smart Environments: A State of the Art -- Sensor, Vision and Networks -- A Survey of Distributed Computer Vision Algorithms -- Video-Based People Tracking -- Locomotion Activities in Smart Environments -- Tracking in Urban Environments Using Sensor Networks Based on Audio-Video Fusion -- Multi-Camera Vision for Surveillance -- Mobile and Pervasive Computing -- Collaboration Support for Mobile Users in Ubiquitous Environments -- Pervasive Computing Middleware -- Case Study of Middleware Infrastructure for Ambient Intelligence Environments -- Collaborative Context Recognition for Mobile Devices -- Security Issues in Ubiquitous Computing* -- Pervasive Systems in Health Care -- Human-centered Interfaces -- Human-centered Computing -- End-user Customisation of Intelligent Environments -- Intelligent Interfaces to Empower People with Disabilities -- Visual Attention, Speaking Activity, and Group Conversational Analysis in Multi-Sensor Environments -- Using Multi-modal Sensing for Human Activity Modeling in the Real World -- Recognizing Facial Expressions Automatically from Video -- Sharing Content and Experiences in Smart Environments -- User Interfaces and HCI for Ambient Intelligence and Smart Environments -- Multimodal Dialogue for Ambient Intelligence and Smart Environments -- Artificial Intelligence and Robotics -- Smart Monitoring for Physical Infrastructures -- Spatio-Temporal Reasoning and Context Awareness -- From Autonomous Robots to Artificial Ecosystems -- Behavior Modeling for Detection, Identification, Prediction, and Reaction (DIPR) in AI Systems Solutions -- Multi-Agents -- Multi-Agent Social Simulation -- Multi-Agent Strategic Modeling in a Specific Environment -- Learning Activity Models for Multiple Agents in a Smart Space -- Mobile Agents -- Applications -- Ambient Human-to-Human Communication -- Smart Environments for Occupancy Sensing and Services -- Smart Offices and Intelligent Decision Rooms -- Smart Classroom: Bringing Pervasive Computing into Distance Learning -- Ambient Intelligence in the City Overview and New Perspectives -- The Advancement of World Digital Cities -- Societal Implications and Impact -- Human Factors Consideration for the Design of Collaborative Machine Assistants -- Privacy Sensitive Surveillance for Assisted Living – A Smart Camera Approach -- Data Mining for User Modeling and Personalization in Ubiquitous Spaces -- Experience Research: a Methodology for Developing Human-centered Interfaces -- Projects -- Computers in the Human Interaction Loop -- Eye-based Direct Interaction for Environmental Control in Heterogeneous Smart Environments -- Middleware Architecture for Ambient Intelligence in the Networked Home -- The PERSONA Service Platform for AAL Spaces -- ALADIN - a Magic Lamp for the Elderly? -- Japanese Ubiquotous Network Project: Ubila -- Ubiquitous Korea Project -- Erratum.

Ambient Intelligence (AmI) has recently been adopted as a term referring to a multidisciplinary subject which embraces a variety of pre-existing fields of computer science and engineering. Given the diversity of potential applications this relationship naturally extends to other areas of science, such as education, health and social care, entertainment, sports, and transportation, to name a few. AmI brings these resources and many other areas together to provide flexible and intelligent services to users acting in their environments. Handbook of Ambient Intelligence and Smart Environments is a comprehensive presentation of the latest developments in the burgeoning research area of ambient intelligence and smart environments. Written by leading international experts, this seminal reference organizes all major concepts, theories, methodologies, trends, and challenges into a coherent, unified repository. About this handbook: Offers a current and thorough review of Ambient Intelligence and examines the relative physical infrastructure of smart environments Features application-oriented coverage and presents current projects on the subject Provides coverage from leading researchers and practitioners in computer science and engineering communities Describes infastructure and how sensors are networked and utilized in application settings Explores technology that can be built over a networked sensing infrastructure to make resources widely available in an unobtrusive way Studies the interaction between humans and artifiical systems Probes developments that aim to make artificial systems more rational Addresses Multi-Agent Systems—systems that contribute to the resources of an artificial system which can be used to understand different sitautions and decide intelligently Investigates a wide range of application ans well as consideration of the impact this technology can have in daily lives. Provides insight into some of the recent major projects developed around the world. This complete volume is an exceptional tool for research scientists, practitioners, senior undergraduate and graduate students in computer science and engineering. This book also presents a useful text for professionals working in service science, education, education, health and social care, entertainment, sports, transportation and urban development.