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Activity Recognition in Pervasive Intelligent Environments

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Cover of 'Activity Recognition in Pervasive Intelligent Environments'

Table of Contents

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    Book Overview
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    Chapter 1 Activity Recognition: Approaches, Practices and Trends
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    Chapter 2 A Possibilistic Approach for Activity Recognition in Smart Homes for Cognitive Assistance to Alzheimer’s Patients
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    Chapter 3 Multi-User Activity Recognition in a Smart Home
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    Chapter 4 Smart Environments and Activity Recognition: A Logic-based Approach
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    Chapter 5 ElderCare: An Interactive TV-based Ambient Assisted Living Platform
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    Chapter 6 An Ontology-Based Context-aware Approach for Behaviour Analysis
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    Chapter 7 User’s Behavior Classification Model for Smart Houses Occupant Prediction
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    Chapter 8 Human Activity Recognition from Wireless Sensor Network Data: Benchmark and Software
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    Chapter 9 Smart Sweet Home… A Pervasive Environment for Sensing our Daily Activity?
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    Chapter 10 Synthesising Generative Probabilistic Models for High-Level Activity Recognition
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    Chapter 11 Ontology-Based Learning Framework for Activity Assistance in an Adaptive Smart Home
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    Chapter 12 Benefits of Dynamically Reconfigurable Activity Recognition in Distributed Sensing Environments
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    Chapter 13 Embedded Activity Monitoring Methods
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    Chapter 14 Activity Recognition and Healthier Food Preparation
Attention for Chapter 12: Benefits of Dynamically Reconfigurable Activity Recognition in Distributed Sensing Environments
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