Colloquium Details
How Smart is Your Home?
| Author: | Parisa Rashidi Washington State University |
|---|---|
| Date: | March 03, 2011 |
| Time: | 15:30 |
| Location: | 220 Deschutes |
| Host: | Dejing Dou |
Abstract
With remarkable recent progress in computing power, networking and sensor technology, we are steadily moving into the world of ubiquitous computing where technology recedes into the background of our lives. Using sensor technology combined with the power of data mining and machine learning techniques, many researchers are now working on smart environments that can respond to the needs of the residents in a context aware way.
An important component of every single smart environment is activity discovery and recognition. Though activity discovery and recognition has been studied by many researchers in the past decade, there are still many challenges that need to be addressed before deploying such technologies in the real world. This talk will review some of these challenges as well as state of the art solutions based on novel data mining and machine learning methods.
The solutions have been developed as part of the CASAS project at Washington State University. CASAS is an interdisciplinary project on smart environments with an emphasis on assisted living. CASAS is one of the largest smart home research deployments in the nation, with several on-campus testbeds as well as dozens of real home deployments.
Biography
Parisa Rashidi is a Ph.D. candidate at Washington State University, expecting to receive her Ph.D. by May 2011. She has been working on the CASAS project since 2006. Her interests include data mining and machine learning applications in smart environments. She has published more than 18 papers in various venues. She also has served on the reviewing board of several international journals and conferences.