Activity Recognition in Pervasive Intelligent Environments

1. Front Matter

   Pages i-xv

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2. Activity Recognition: Approaches, Practices and Trends

   • Liming Chen, Ismail Khalil

   Pages 1-31

3. A Possibilistic Approach for Activity Recognition in Smart Homes for Cognitive Assistance to Alzheimer’s Patients

   • Patrice C. Roy, Sylvain Giroux, Bruno Bouchard, Abdenour Bouzouane, Clifton Phua, Andrei Tolstikov et al.

   Pages 33-58

4. Multi-User Activity Recognition in a Smart Home

   • Liang Wang, Tao Gu, Xianping Tao, Hanhua Chen, Jian Lu

   Pages 59-81

5. Smart Environments and Activity Recognition: A Logic-based Approach

   • Fulvio Mastrogiovanni, Antonello Scalmato, Antonio Sgorbissa, Renato Zaccaria

   Pages 83-109

6. ElderCare: An Interactive TV-based Ambient Assisted Living Platform

   • Diego López-de-Ipiña, Sergio Blanco, Xabier Laiseca, Ignacio Díaz-de-Sarralde

   Pages 111-125

7. An Ontology-Based Context-aware Approach for Behaviour Analysis

   • Shumei Zhang, Paul McCullagh, Chris Nugent, Huiru Zheng

   Pages 127-148

8. User’s Behavior Classification Model for Smart Houses Occupant Prediction

   • Rachid Kadouche, Hélène Pigot, Bessam Abdulrazak, Sylvain Giroux

   Pages 149-164

9. Human Activity Recognition from Wireless Sensor Network Data: Benchmark and Software

   • T. L. M. van Kasteren, G. Englebienne, B. J. A. Kröse

   Pages 165-186

10. Smart Sweet Home… A Pervasive Environment for Sensing our Daily Activity?

    • Norbert Noury, Julien Poujaud, Anthony Fleury, Ronald Nocua, Tareq Haddidi, Pierre Rumeau

    Pages 187-208

11. Synthesising Generative Probabilistic Models for High-Level Activity Recognition

    • Christoph Burghardt, Maik Wurdel, Sebastian Bader, Gernot Ruscher, Thomas Kirste

    Pages 209-236

12. Ontology-Based Learning Framework for Activity Assistance in an Adaptive Smart Home

    • George Okeyo, Liming Chen, Hui Wang, Roy Sterritt

    Pages 237-263

13. Benefits of Dynamically Reconfigurable Activity Recognition in Distributed Sensing Environments

    • Clemens Lombriser, Oliver Amft, Piero Zappi, Luca Benini, Gerhard Tröster

    Pages 265-290

14. Embedded Activity Monitoring Methods

    • Niket Shah, Maulik Kapuria, Kimberly Newman

    Pages 291-311

15. Activity Recognition and Healthier Food Preparation

    • Thomas Plötz, Paula Moynihan, Cuong Pham, Patrick Olivier

    Pages 313-329

This book consists of a number of chapters addressing different aspects of activity recognition, roughly in three main categories of topics. The first topic will be focused on activity modeling, representation and reasoning using mathematical models, knowledge representation formalisms and AI techniques. The second topic will concentrate on activity recognition methods and algorithms. Apart from traditional methods based on data mining and machine learning, we are particularly interested in novel approaches, such as the ontology-based approach, that facilitate data integration, sharing and automatic/automated processing. In the third topic we intend to cover novel architectures and frameworks for activity recognition, which are scalable and applicable to large scale distributed dynamic environments. In addition, this topic will also include the underpinning technological infrastructure, i.e. tools and APIs, that supports function/capability sharing and reuse, and rapid development and deployment of technological solutions. The fourth category of topic will be dedicated to representative applications of activity recognition in intelligent environments, which address the life cycle of activity recognition and their use for novel functions of the end-user systems with comprehensive implementation, prototyping and evaluation. This will include a wide range of application scenarios, such as smart homes, intelligent conference venues and cars.

• activity recognition
• ambient intelligent
• datamining
• intelligent environments
• pervasive computing

• , School of Computing and Mathematics, University of Ulster, County Antrim, United Kingdom

  Liming Chen

• School of Computing & Mathematics, University of Ulster, Newtownabbey, United Kingdom

  Chris D. Nugent

• , Networking Protocols Department, Institute of Infocomm Research, Singapore, Singapore

  Jit Biswas

• , School of Computer Science, University of Waterloo, Waterloo, Canada

  Jesse Hoey

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