High-level goal recognition in a wireless LAN

摘要: Plan recognition has traditionally been developed for logically encoded application domains with a focus on logical reasoning. In this paper, we present an integrated plan-recognition model that combines low-level sensory readings high-level goal inference. A two-level architecture is proposed to infer user's goals in complex indoor environment using RF-based wireless network. The novelty of our work derives from ability sequences signal trajectory, and the us make trade-off between accuracy inference efficiency. relies dynamic Bayesian network actions raw signals, N-gram users' actions. We method constructing past data demonstrate effectiveness solution through empirical studies some real have collected.