Shared more. Cited more. Safe forever.
    • advanced search
    • submit works
    • about
    • help
    • contact us
    • login
    View Item 
    •   MOspace Home
    • University of Missouri-Columbia
    • Graduate School - MU Theses and Dissertations (MU)
    • Theses and Dissertations (MU)
    • Theses (MU)
    • 2016 Theses (MU)
    • 2016 MU theses - Access restricted to MU
    • View Item
    •   MOspace Home
    • University of Missouri-Columbia
    • Graduate School - MU Theses and Dissertations (MU)
    • Theses and Dissertations (MU)
    • Theses (MU)
    • 2016 Theses (MU)
    • 2016 MU theses - Access restricted to MU
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.
    advanced searchsubmit worksabouthelpcontact us

    Browse

    All of MOspaceCommunities & CollectionsDate IssuedAuthor/ContributorTitleIdentifierThesis DepartmentThesis AdvisorThesis SemesterThis CollectionDate IssuedAuthor/ContributorTitleIdentifierThesis DepartmentThesis AdvisorThesis Semester

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular AuthorsStatistics by Referrer

    A data acquisition system that uses signal scavenging to detect activity on floor pads

    Mandeel, Ali
    View/Open
    [PDF] public.pdf (2.150Kb)
    [PDF] research.pdf (3.101Mb)
    [PDF] short.pdf (109.1Kb)
    Date
    2016
    Format
    Thesis
    Metadata
    [+] Show full item record
    Abstract
    [ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] We designed a data acquisition system to scan data from four sensors on a pad using the smart carpet technology. We constructed and tested four data acquisition systems to read the data, process it, and store it. The data acquisition systems sends the data of active sensors either by plugging directly into a computer through the serial UART port, or wirelessly using a Wi-Fi chip, Spark Core, to the cloud. If we use the Wi-Fi implementation, our system sends notifications either by email, phone call or message text to caregivers when steps on the pad occur. We used microcontroller PIC18F4455 to read the signals from the four sensors on the pad, and process the data. This chip is small, less power consuming, and easy to set up and use. To test the design entirely, we started our work with a breadboard, and then we built our design in printed circuit board. We did several experiments to make our system able to work accurately. We measured the noise value in the pad's sensors to find the threshold value, which helps us to distinguish between the noisy sensors and active sensors. We did another experiment to show its accuracy in counting steps. A major rationale for this effort is to help caregivers track people in critical locations including buildings, bathrooms, exit doors, and around hospital beds. Also, for security purposes the system can detect unauthorized entry through windows.
    URI
    https://doi.org/10.32469/10355/56384
    https://hdl.handle.net/10355/56384
    Degree
    M.S.
    Thesis Department
    Computer engineering (MU)
    Rights
    Access to files is limited to the University of Missouri--Columbia.
    Collections
    • 2016 MU theses - Access restricted to MU
    • Electrical Engineering and Computer Science electronic theses and dissertations (MU)

    Send Feedback
    hosted by University of Missouri Library Systems
     

     


    Send Feedback
    hosted by University of Missouri Library Systems