Home > Colloquia > Monday, February 2, 2009

The ability to interpret human behaviors in space and time using sensors holds great promise in many applications that need to analyze complex behaviors or provide automated services. Elder home monitoring, the study of psychological disorders, workplace safety and security services are merely a few applications that could benefit from such technologies. This talk will survey some of the challenges and report on the recent progress of the BehaviorScope project at Yale. More specifically, the talk will discuss how to detect patterns from sequences and how to extract daily routines from the data. Current progress of detecting and dealing with multiple people will also be discussed.

Biography:

Andreas Savvides is an Associate Professor in the Electrical Engineering Department at Yale University. At Yale he leads the Embedded Networks and Applications Lab (ENALAB) that specializes in the design and implementation of networked embedded systems and smart spaces. Dr. Savvides obtained his Ph.D. in 2003 from the Electrical Engineering Department at UCLA. Before this he earned a B.S Degree in Computer Engineering from the University of California, San Diego in 1997 and an M.S Degree from the University of Massachusetts, Amherst. His research is funded by federal grants from the National Science Foundation and other agencies, as well as industry support, including an NSF Career Award received in 2005. Dr. Savvides’ current research is focuses on sensor systems for detecting humans, interpreting behaviors and providing ubiquitous services.

Reception in Olsson Hall room 224 at 4:30 p.m.