A Spatio-Temporal Architecture for Context Aware Sensing

摘要

Context-aware sensing is an integral part of the Body Sensor Network (BSN) design and it allows the understanding of intrinsic characteristics of the sensed signal and determination of how BSNs should react to different events and adapt its monitoring behaviour. The purpose of this paper is to propose a novel spatio-temporal self-organising map that minimises the number of neurons involved whilst maintaining a high accuracy in class separation for both static and dynamic activities.