• DocumentCode
    583527
  • Title

    Location recognition for elderly-care robot services using received signal strength indicator and light sensors

  • Author

    Kang, Sangseung ; Kim, Jaehong

  • Author_Institution
    Robot/Cognitive Convergence Res. Dept., ETRI, Daejeon, South Korea
  • fYear
    2012
  • fDate
    17-21 Oct. 2012
  • Firstpage
    1203
  • Lastpage
    1205
  • Abstract
    In this paper, we present a method of location recognition for elderly-care robot services in an indoor environment. In the proposed method, the user´s location is determined more accurately through a fusion process of the available received signal strength indicator (RSSI) information and light sensor information using a wearable device. All the information is sent and stored in a server through a wireless sensor network. An acting user´s device obtains the RSSI information of the neighboring fixed nodes. It also gathers illumination information in each node and extracts the feature data. The information is sent to the server wirelessly over the sensor network. The location is determined based on the fusion feature information. The proposed recognition function of the location is useful in the location tracking of elderly persons faced with an emergency situation in a nursing facility.
  • Keywords
    medical robotics; optical sensors; patient care; pattern recognition; sensor fusion; RSSI information; elderly-care robot service; emergency situation; feature data extraction; fusion process; illumination information; light sensor information; location recognition; location tracking; nursing facility; received signal strength indicator; user location; wireless sensor network; Lighting; Robot sensing systems; Senior citizens; Servers; Temperature sensors; elderly care; location recognition; robot service;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation and Systems (ICCAS), 2012 12th International Conference on
  • Conference_Location
    JeJu Island
  • Print_ISBN
    978-1-4673-2247-8
  • Type

    conf

  • Filename
    6393312