ue 15(4): e3

Research Article

Method, Design and Implementation of an Indoor Tracking System with Concurrent Fault Localization

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  • @ARTICLE{10.4108/ue.1.4.e3,
        author={Fabio Veronese and Sara Comai and Fabio Salice},
        title={Method, Design and Implementation of an Indoor Tracking System with Concurrent Fault Localization},
        journal={EAI Endorsed Transactions on Ubiquitous Environments},
        volume={1},
        number={4},
        publisher={ICST},
        journal_a={UE},
        year={2015},
        month={5},
        keywords={Indoor Human Localization; Home Automation; Assistive Technology; Smart Home; Dependability; Fault Detection; Human-Made Fault Detection.},
        doi={10.4108/ue.1.4.e3}
    }
    
  • Fabio Veronese
    Sara Comai
    Fabio Salice
    Year: 2015
    Method, Design and Implementation of an Indoor Tracking System with Concurrent Fault Localization
    UE
    ICST
    DOI: 10.4108/ue.1.4.e3
Fabio Veronese1,*, Sara Comai1, Fabio Salice1
  • 1: Politecnico di Milano; Department of Electronics, Informatics and Bioengineering – Polo Regionale di Como – Via Anzani 42, 22100, Como, Italy
*Contact email: fabio.veronese@polimi.it

Abstract

Thanks to the diffusion of wearable devices there are several indoor tracking systems. Among them, RF-based have been deeply studied for their flexibility and limited costs. These systems can be employed as assistive tools only being dependable, identifying faults. We propose two methods to provide multiuser tracking with concurrent localization of natural hardware and human-made faults. The first method relies on independent measurement systems and on a model-based fault localization apparatus, checking for discrepancies in the subsystems behavior. The second provides an estimation of the fault probability for each device, based on the data collected at runtime. These methods aim to provide dependable tracking for fragile people (such as elderly or people with small impairments). We present examples of Indoor Human Tracking simulations in a large environment, and an implemented case-study. The collected data confirm the validity of both the approaches and highlight their diversity.