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Jožef Stefan
International
Postgraduate School

Jamova 39
SI-1000 Ljubljana
Slovenia

Phone: +386 1 477 31 00
Fax: +386 1 477 31 10
Email: info@mps.si

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Course Description

Ambient Intelligence

Program

Information and Communication Technologies, third-level study programme

Lecturers:

prof. dr. Matjaž Gams
dr. Mitja Luštrek

Goals:

The objective of the course is to familiarize the student with the field of ambient intelligence and ubiquitous computing. The focus will be on intelligent algorithms for the interpretation of sensor data and acting upon such interpretation. However, the course will address all the key topics of ambient intelligence, from hardware and low-level software to user interaction.
The students who will successfully complete this course will grasp the purpose of ambient intelligence and will be able to design and develop ambient-intelligence applications.

Content:

Introduction:
definition, vision and challenges of ambient intelligence; hardware and software foundation – common sensors and other devices, middleware and embedded systems

Use of wearable sensors:
synchronisation, filtering and fusion of sensor data; interpretation with a sliding window and machine learning; using context and adapting to individual users

Smart environments:
computer vision, temporal and probabilistic reasoning for ambient intelligence

User interaction:
innovative input/output devices, the use of metaphors in user interfaces, the principles of designing user interaction in ambient intelligence

Representative applications of ambient intelligence:
activity recognition, fall detection, mood analysis, detection of unusual behaviour, monitoring of chronic patients, comfort and energy saving in smart buildings

Course literature:

Selected chapters from the following books:

• H. Nakashima, H. Aghajan, and J. C. Augusto, Handbook of Ambient Intelligence and Smart Environments. Springer, 2010. ISBN 978-0-387-93807-3
• M. Kuniavsky, Smart Things: Ubiquitous Computing User Experience Design. Morgan Kaufmann, 2010. ISBN 978-0-12-374899-7
• J. C. Augusto, M. Huch, A. Kameas, J. Maitland, P. J. McCullagh, J. Roberts, A. Sixsmith, and R. Wichert, Handbook of Ambient Assisted Living: Technology for Healthcare, Rehabilitation and Well-being. IOS Press, 2012. ISBN 978-1-60750-836-6

Significant publications and references:

• D. Zupančič, M. Luštrek, and M. Gams, “Multi-agent architecture for control of heating and cooling in a residential space,” The Computer Journal, v tisku / in press, 2015.
• H. Gjoreski, S. Kozina, M. Gams, M. Luštrek, J. A. Álvarez-García, J.-H. Hong, J. Ramos, A. K. Dey, M. Bocca, and N. Patwari, “Competitive live evaluations of activity-recognition systems,” IEEE Pervasive Computing, vol. 14, no. 1, pp. 70-77, 2015.
• H. Gjoreski, M. Gams, and M. Luštrek, “Context-based fall detection and activity recognition using inertial and location sensors,” Journal of Ambient Intelligence and Smart Environments, vol. 6, no. 4, pp. 419-433, 2014.
• S. Kozina, H. Gjoreski, M. Gams, and M. Luštrek, “Three-layer activity recognition combining domain knowledge and meta-classification,” Journal of Medical and Biological Engineering, vol. 33, no. 4, 2013.
• H. Gjoreski, B. Kaluža, M. Gams, R. Milić, and M. Luštrek, “Ensembles of multiple sensors for human energy expenditure estimation,” Proceedings of ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2013.

Examination:

Seminar work (50%)
Oral defense of seminar work (50%)

Students obligations:

Seminar work and oral defense of seminar work.

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