Chong N.-Y., Mastrogiovanni F. Handbook of Research on Ambient Intelligence and Smart Environments. Trends and Perspectives

IGI Global, 2011. — 771 p.Ambient Intelligence (AmI in short) is a multidisciplinary approach aimed at enriching physical environments with a network of distributed devices, such as sensors, actuators, and computational resources, in order to support humans in achieving their everyday goals. These can range from helping businessmen in increasing their productivity to supporting activities of daily living for elderly and people with special needs, such as people suffering from cognitive impairments or physical injuries.
From a technological perspective, AmI represents the convergence of recent achievements in communications technologies (e.g., sensor networks and distributed computing), industrial electronics (e.g., the miniaturization process affecting computational devices, such as wearable sensors), Pervasive Computing, intelligent user interfaces (e.g., alternative communication media such as eyes’ gaze and speech) and Artificial Intelligence (e.g., knowledge representation and context or situation awareness), just to name but few. AmI is not only the superimposition of these disciplines, but it is a major effort to integrate and make them really useful for the everyday human life.
The Handbook is aimed at covering cutting-edge aspects involved in the effective design, realization and implementation of comprehensive AmI applications. In particular, it can be considered as a conceptual path originating from the very basic consideration of human aspects that are involved in AmI systems design, heading to the effective reasoning and acting capabilities that AmI systems must be characterized with to operate in the real-world.Ambient Intelligence as Cognitive Niche Enrichment: Foundational Issues
Tracking Persons: A Survey
SensFloor and NaviFloor: Large-Area Sensor Systems beneath Your Feet
Embedding Context-Awareness into a Daily Object for Improved Information Awareness: A Case Study Using a Mirror
Image-Word Mapping
A Survey on the Use of Emotions, Mood, and Personality in Ambient Intelligence and Smart Environments
Logical Modeling of Emotions for Ambient Intelligence
Incorporating Human Aspects in Ambient Intelligence and Smart Environments
Assistive Technologies in Smart Homes
System Support for Smart Spaces
MEDUSA: Middleware for End-User Composition of Ubiquitous Applications
Home Service Engineering for Sensor Networks
Dynamic Ambient Networks with Middleware
Using Context Awareness for Self-Management in Pervasive Service Middleware
An Ontology-Based Context-Aware Infrastructure for Smart Homes
State-of-the-Art Assistive Technology for People with Dementia
Challenging Issues of Ambient Activity Recognition for Cognitive Assistance
Logic-Based Approaches to Intention Recognition
Inference of Human Intentions in Context Aware Systems
Ambient Intelligence for Eldercare – the Nuts and Bolts: Sensor Data Acquisition, Processing and Activity Recognition Under Resource Constraints
Behaviour Monitoring and Interpretation: Facets of BMI Systems
Recognising Human Behaviour in a Spatio-Temporal Context
Prototyping Smart Assistance with Bayesian Autonomous Driver Models
Context-Sensitive Spatial Interaction and Ambient Control
Proactive Assistance in Ecologies of Physically Embedded Intelligent Systems: A Constraint-Based Approach
Self-Organizing Mobile Sensor Network: Distributed Topology Control Framework
Pervasive Computing for Efficient Energy
Ambient Intelligence and Immersive Geospatial Visual Analytics
Possibilities of Ambient Intelligence and Smart Environments in Educational Institutions
Opinion Mining and Information Retrieval: Techniques for E-Commerce