SE

Sensorization and Environment

Objectives

[A] Define key concepts related to sensorization: sensors, classes and types. [B] Know the various sensory fusion algorithms. [C] Understand the implications of intelligent environments in the specification, development and implementation of information systems; [D] Decide on the approaches and technologies to use in designing and applying to specific contexts. [E] Develop ambient intelligence solutions paying attention to the social and economic factors involved; [F] Understand the ethical implications and responsibilities in designing context-sensitive solutions.

Program

(1) Sensorization: sensors, sensor classes, sensor types; sensory fusion. (2) Sensory Fusion: types; settings; algorithms. (3) Introduction to Ambient Intelligence: pervasive computing; ubiquitous computing; affective computing; usable computing; intelligent interfaces. (4) Ambient Intelligence: architecture; perception; reasoning; decision; acting; learning. (5) Intelligent Environments: internet of everything; internet of things; people’s internet. (6) Applications: application areas; smart cities; assisted living environments. (7) Safety and Ethics: privacy; data protection and identification; legal framework.

Bibliography

Mitchell, H. B. (2012). Data Fusion: Concepts and Ideas. Berlin: Springer Verlag. https://doi.org/10.1007 /978-3-642-27222-6 Cook, D. J., Augusto, J. C., & Jakkula, V. R. (2009). Ambient intelligence: Technologies, applications, and opportunities. Pervasive and Mobile Computing, 5(4), 277-298. https://doi.org/10.1016/j.pmcj.2009.04.001 Aarts, E., & Encarnação, J. L. (2006). True Visions: the Emergence of Ambient Intelligence. Springer-Verlag. Preuveneers, D., & Novais, P. (2012). A Survey of Software Engineering Best Practices for the Development of Smart Applications in Ambient Intelligence. Journal Ambient Intelligence and Smart Environments, 4(3), 149-162. Retrieved from http://dl.acm.org/citation.cfm?id=2350776.2350779