Layered representations for human activity recognition
- 26 June 2003
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
We present the use of layered probabilistic representations using hidden Markov models for performing sensing, learning, and inference at multiple levels of temporal granularity We describe the use of representation in a system that diagnoses states of a user's activity based on real-time streams of evidence from video, acoustic, and computer interactions. We review the representation, present an implementation, and report on experiments with the layered representation in an office-awareness application.Keywords
This publication has 1 reference indexed in Scilit:
- Recognition of visual activities and interactions by stochastic parsingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2000