• DocumentCode
    3714593
  • Title

    Thermal sensor based multi-occupancy motion tracking and visualisation in smart environments

  • Author

    Jun Zhou;Huiru Zheng;Haiying Wang;Jonathan Synnott;Chris Nugent;Paul Jeffers

  • Author_Institution
    School of Computing and Mathematics, Ulster University, Co. Antrim, United Kingdom, BT37 0QB
  • fYear
    2015
  • Firstpage
    1497
  • Lastpage
    1502
  • Abstract
    A smart environment is a physical space where smart devices/technologies are applied to continuously sense the occupant´s daily living activities or health condition. Recent years have witnessed the application of smart environments to support independent living for elderly people or for people with chronic conditions. Nevertheless, most of the projects have been exclusively designed to support instances of single occupancy. In an effort to move beyond the scenario of a single occupant within a smart environment, this paper investigates the feasibility of using thermal sensors to detect the presence of multi-occupants and to track and visualise their motions. Results indicate that the use of thermals sensor can detect multi-occupancy, including moving subjects in addition to static subjects. The system developed demonstrated the ability to track up to 5 occupants, although mistrackings were found to occur when the individuals were apart after they stayed closely together.
  • Keywords
    Visualization
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedicine (BIBM), 2015 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/BIBM.2015.7359897
  • Filename
    7359897