AmITA

Workshop on Ambient Intelligence Technologies and Applications

Ambient Intelligence (AmI) deals with a new world where computing devices are spread everywhere (ubiquity) allowing humans to interact with physical world environments in an intelligent and unobtrusive way. These environments should be aware of the needs of people, customizing requirements and forecasting behaviours.

AmI environments may be highly diverse, such as homes, offices, meeting rooms, schools, hospitals, control centers, transport facilities, tourist attractions, stores, sport installations, music devices, etc.

In the Workshop on Ambient Intelligence Technologies and Applications we will bring together researchers to present works and systems, discussing issues in Artificial Intelligence topics included in Ambient Intelligence environments.

Topics of Interest

- Knowledge Representation and Intelligent Reasoning for AmI
- Speech Recognition, Natural Language, Intelligent Interfaces in AmI interaction
- Computer Vision for AmI
- Intelligent Sensor Processing for AmI
- Planning & Scheduling in AmI
- Machine Learning and Data Mining in AmI
- Knowledge-based AmI systems
- Multi-Agent based AmI systems
- Mixed and Virtual Reality in AmI
- Proactive Computing in AmI
- Activity Recognition
- Context Awareness
- Other AI methodologies and techniques applied to AmI
- AmI applications for leasure
- AmI applications in home
- AmI applications in work environments
- AmI applications in Industry
- AmI applications in Services
- AmI applications in Health
- AmI applications in Energy
- AmI applications in Transports
- Other AmI application areas

Scope

The trend in the direction of hardware cost reduction and miniaturization increasingly allows embedding computing devices in several objects and environments. Ambient Intelligence (AmI) deals with a new world where computing devices are spread everywhere (ubiquity) allowing humans to interact with physical world environments in an intelligent and unobtrusive way. These environments should be aware of the needs of people, customizing requirements and forecasting behaviours.

AmI environments may be highly diverse, such as homes, offices, meeting rooms, schools, hospitals, control centers, transport facilities, tourist attractions, stores, sport installations, music devices, etc.

Ambient Intelligence involves many different disciplines, for example automation (sensors, control, and actuators), human-machine interaction and computer graphics, ubiquitous computing, embedded systems, and, obviously, Artificial Intelligence. The main contributions envisaged of AI research towards the objectives of Ambient Intelligence are the inclusion of more intelligence in the AmI environments, provision of better, more "natural", support for humans, and access to the knowledge essential for making better decisions in response to interactins between humans and the environments.

In the Workshop on Ambient Intelligence Technologies and Applications we would like to bring together researchers to present work and discuss issues in AI topics in Ambient Intelligence, as well as to present some developed systems realising AmI applications.

Organising Committee

Carlos Ramos, Instituto Superior de Engenharia do Porto, Rua Dr. António Bernardino de Almeida, 431, 4200-072, Porto, Portugal; tel. +351-22-8340500 or +351-96-4052923; email: This email address is being protected from spam bots, you need Javascript enabled to view it

Fariba Sadri, Department of Computing, Imperial College of Science, Technology and Medicine, 180 Queen's Gate, London SW7 2BZ, England, Imperial College, London, UK; email: This email address is being protected from spam bots, you need Javascript enabled to view it

Program Committee

Juan Augusto, University of Ulster, North Ireland, UK
Kenji Araki, Hokkaido University, Japan
Manuel Barata, Institute of Engineering – Polytechnic of Lisbon, Portugal
Miguel Calejo, Declarativa, Portugal
Amílcar Cardoso, University of Coimbra, Portugal
Jianhua Ma, Hosei University, Japan
Luís Moniz Pereira, New University of Lisbon, Portugal
Carlos Ramos, Institute of Engineering – Polytechnic of Porto, Portugal
Fariba Sadri, Imperial College, England
Zary Segall, University of Maryland, USA
Daniel Shapiro, Applied Reactivity Inc., USA
António Abelham University of Minho, Portugal
Carlos Bento, University of Coimbra, Portugal
Nuno Gomes, Institute of Engineering – Polytechnic of Porto, Portugal
Rui José, University of Minho, Portugal
Artur Lugmayr, Tampere University, Finland
Goreti Marreiros, Institute of Engineering - Polytechnic of Porto, Portugal
Pedro Marrion, Univ Bonn, Germany
Adriano Moreira, University of Minho, Portugal