4th International Conference on Wireless Mobile Communication and Healthcare - "Transforming healthcare through innovations in mobile and wireless technologies"

Research Article

Radio Frequency Identification (RFID) enhanced Indoor Navigation Framework for Seniors

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  • @INPROCEEDINGS{10.4108/icst.mobihealth.2014.257368,
        author={Charalampos Tsirmpas and Athanasios Anastasiou and Alexander Rompas and Dimitris Koutsouris},
        title={Radio Frequency Identification (RFID) enhanced Indoor Navigation Framework for Seniors},
        proceedings={4th International Conference on Wireless Mobile Communication and Healthcare - "Transforming healthcare through innovations in mobile and wireless technologies"},
        publisher={IEEE},
        proceedings_a={MOBIHEALTH},
        year={2014},
        month={12},
        keywords={radio frequency identification (rfid) indoor navigation systems (ins) visually impaired ambient assisted living indoor localization},
        doi={10.4108/icst.mobihealth.2014.257368}
    }
    
  • Charalampos Tsirmpas
    Athanasios Anastasiou
    Alexander Rompas
    Dimitris Koutsouris
    Year: 2014
    Radio Frequency Identification (RFID) enhanced Indoor Navigation Framework for Seniors
    MOBIHEALTH
    IEEE
    DOI: 10.4108/icst.mobihealth.2014.257368
Charalampos Tsirmpas1,*, Athanasios Anastasiou1, Alexander Rompas1, Dimitris Koutsouris1
  • 1: Biomedical Engineering Laboratory, School of Electrical and Computer Engineering, National Technical University of Athens
*Contact email: htsirbas@biomed.ntua.gr

Abstract

One of the most challenging limitations for the elderly and/or the visually impaired people is the inability of self-navigation in unfamiliar indoor environments. Numerous existing indoor navigation systems have been proposed in order to solve such problems. However, these papers do not adequately examine the effectiveness of the systems in real time trials and are faced with a variety of technical and usability problems. In our paper, we present a unique and elegant architecture of an indoor navigation system as an integrated and tested system in real time. This solution enables the localization of the user, as well as the navigation, considering scenarios that the user might follow and suggests guidelines for self- navigation.