TitleFine-Grained Activity Recognition by Aggregating Abstract Object Usage
Publication TypeConference Paper
Year of Publication2005
AuthorsPatterson D, Fox D, Kautz H, Philipose M
Conference NameProc. of the International Symposium on Wearable Computers

In this paper we present results related to achieving finegrained activity recognition for context-aware computing applications. We examine the advantages and challenges of reasoning with globally unique object instances detected by an RFID glove. We present a sequence of increasingly powerful probabilistic graphical models for activity recognition. We show the advantages of adding additional complexity and conclude with a model that can reason tractably about aggregated object instances and gracefully generalizes from object instances to their classes by using abstraction smoothing. We apply these models to data collected from a morning household routine.

NotesBest Paper Award
Downloadshttp://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/rfid-activit... PDF
Citation KeyPat05Fin