PhD Qualifying Examination


"Location-Based Plan Recognition"

By Mr. Xiaoyong Chai


Abstract:

Recognition and prediction of high-level intentions and complex behaviors
from low-level sensory data are important to many applications. One
central theme in pervasive computing is to provide appropriate
location-based assistance to a user based on his/her intended plan of
actions. In this survey, we aim to develop the representation and
reasoning techniques to enable the automatic recognition and prediction of
mobile-users' plans and actions in a pervasive computing environment. The
problem of so-called location-based plan recognition will be formulated
and different aspects of building such a user behavior model will be
discussed.


Date:     		Wednesday, 7 January 2004

Time:                   10:30a.m.-12:30p.m.

Venue:                  Room 2406
			lifts 17-18

Committee Members:      Dr. Qiang Yang (Supervisor)
                        Dr. James Kwok (Chairperson)
			Dr. Long Quan
			Dr. Dit-Yan Yeung


**** ALL are Welcome ****