Fine-Grained Activity Recognition by Aggregating Abstract Object Usage

D.J. Patterson, D. Fox, H. Kautz, M. Philipose
Ninth IEEE International Symposium on Wearable Computers (ISWC'05)  
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
more » ... cefully generalizes from object instances to their classes by using abstraction smoothing. We apply these models to data collected from a morning household routine.
doi:10.1109/iswc.2005.22 dblp:conf/iswc/PattersonFKP05 fatcat:z5tah4feovhsrorilkgieb36pu