Title | Fine-Grained Activity Recognition by Aggregating Abstract Object Usage |
Publication Type | Conference Paper |
Year of Publication | 2005 |
Authors | Patterson D, Fox D, Kautz H, Philipose M |
Conference Name | Proc. of the International Symposium on Wearable Computers |
Abstract | 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. |
Notes | Best Paper Award |
Downloads | http://www.cs.washington.edu/ai/Mobile_Robotics/postscripts/rfid-activit... PDF |
Citation Key | Pat05Fin |