Ubiquitous Computing

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course

Class is inactive.

This class was last offered in 2013. The Physical Computing class offers a hands-on experience of Ubiquitous Computing technologies.

The goal of this class is to introduce the vision of ubiquitous computing and expose students to the fundamental concepts and technologies in the area. The term “ubiquitous computing” describes the vision of incorporating sensing, computation, and communication into everyday things in order to make them and their surroundings “smart”. Smart things can detect where they are, sense what is around them, detect and communicate with other smart things, remember what they were used for previously, and reason about the kind of future actions they might likely be used for. Interaction with smart things does not happen through keyboards and mice, but through tangible interfaces, contactless ID chips, gesture and movement detection, or through wearable sensors.

Originally conceived in the early 1990s, this vision of a disappearing computer is rapidly attaining levels of both technical and economical feasibility. Organic displays (OLEDs), electronic ink (eInk), Near Field Communication (NFC), radio frequency identification (RFID), Zigbee, and Bluetooth are but a few examples of the recent technological developments that drive this trend; Pay-per-use insurances, smart homes, and mobile payments but a few examples of recent economic developments.

Contents

This lecture (2h per week) will offer an overview of various technological, economic, and social topics in the area of ubiquitous computing. Specific topics covered may include, but are not limited to:

  • The vision of “ubiquitous computing”
  • Technology trends
  • Wireless communication (WiFi, Bluetooth) and ad-hoc networking
  • Location awareness and location-based services
  • Smart labels (RFIDs)
  • Embedded systems and wireless sensor networks
  • Energy issues
  • Interaction with invisible computers
  • Wearable computing
  • Activity recognition
  • Application scenarios, economic implications
  • Social implication and public policy debate
Teaching Mode

One lecture per week with weekly homework assignment, ranging from reading assignments, to simulations, to concept videos.

References

John Krum (Ed.): Ubiquitous Computing. CRC Press, October 2009.

Editions

Class Semester Instructor Teaching Assistant(s) Ubiquitous Computing 2013 Fall - - Ubiquitous Computing 2012 Fall - - Ubiquitous Computing 2011 Fall - - Ubiquitous Computing 2010 Fall - - Ubiquitous Computing 2009 Fall - -

Course
Silvia Santini
Authors
Silvia Santini
Professor
Silvia Santini is an Associate Professor at the Faculty of Informatics of USI since September 2016, where she co-leads the People-Centered Computing Lab together with Prof. Marc Langheinrich. From July 2014 until August 2016 she held an Associate Professor position at TU Dresden, where she led the Embedded Systems Lab. From October 2011 until July 2014 she was an Assistant Professor at the Department of Electrical Engineering and Information Technology of TU Darmstadt, Germany, where she led the Wireless Sensor Networks Lab. From 2009 until 2011 she was a postdoctoral researcher in Prof. Friedemann Mattern’s Distributed Systems Group at ETH Zurich, and from November 2010 until February 2011 she joined Leonidas Guibas’s research group at Stanford University as a visiting scholar. Silvia completed her PhD under the supervision of Prof. Friedemann Mattern at ETH Zurich in 2009, and graduated in Telecommunication Engineering (with honors) from the Sapienza University of Rome, Italy, in May 2004.