Computing That Serves

Colloquium: CASAS Smart Home Project: Activity Learning in the Wild


Thursday, February 27, 2014 - 11:00am


Diane Cook


Christophe Giraud-Carrier

Since the miniaturization of microprocessors, computing power has been embedded in familiar objects such as home appliances and mobile devices; it is gradually pervading almost every level of society. In the last decade, machine learning and pervasive computing technologies have matured to the point where this power is not only integrated with our lives but it can provide context-aware, automated support in our everyday environments.

Many applications that focus on providing such context-aware
services require real-time information about the activities that are being performed by humans in these environments. This talk examines
machine learning technologies to perform activity recognition, discovery, and forecasting. We also discuss the challenges that are faced when employing these techniques for complex, real-world applications. We demonstrate and evaluate the technologies in the context of the CASAS smart home project.


Dr. Diane Cook is a Huie-Rogers Chair Professor in the School of
Electrical Engineering and Computer Science at Washington State University. She received her B.S. from Wheaton College and her M.S. and Ph.D. from the University of Illinois. Her areas of interest include artificial intelligence, machine learning, parallel algorithms, and smart environments, and she has authored over 350 publications on these topics. Her research is supported by NSF, NIH, DARPA, NASA, DHS, USAF, NRL, and various industrial sponsors. She has edited three texts and is currently writing a book on Activity Learning. She is the recipient of an NSF Career Award, was elected an IEEE Fellow, and has received numerous research and teaching awards. Dr. Cook currently heads the CASAS Smart Home project at Washington State University.