Enhancements to the LOCOSmotion Person Tracking System

Abstract

Indoor localization is a key component in context-aware applications and assisted-living technologies. In prior work, we presented the design and implementation of the LOCOSmotion indoor person tracking system that uses Wireless LAN fingerprinting and accelerometer-based dead-reckoning [5]. In this paper, we analyze the optimization potentials of the previous implementation LOCOSmotion and propose modifications and enhancements which address them. In particular, we focus on reducing the time and cost of deployment, as well as on a number of refinements to improve the localization precision. Aside from optimization of the calibration tools and underlying localization algorithms, the refinements also encompass the use of feedback provided by the domestic robotics (domotics) in the Living Lab to improve the overall system performance. © Springer-Verlag Berlin Heidelberg 2013.