Shared more. Cited more. Safe forever.
    • advanced search
    • submit works
    • about
    • help
    • contact us
    • login
    View Item 
    •   MOspace Home
    • University of Missouri-Columbia
    • College of Engineering (MU)
    • Department of Electrical Engineering and Computer Science (MU)
    • Electrical Engineering and Computer Science publications (MU)
    • View Item
    •   MOspace Home
    • University of Missouri-Columbia
    • College of Engineering (MU)
    • Department of Electrical Engineering and Computer Science (MU)
    • Electrical Engineering and Computer Science publications (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

    Automated Estimation of Elder Activity Levels from Anonymized Video Data

    Harvey, Nicholas M.
    Zhou, Zhongna
    Keller, James M.
    Rantz, Marilyn J.
    He, Zhihai, 1973-
    View/Open
    [PDF] AutomatedEstimationElderActivityLevels.pdf (219.9Kb)
    Date
    2009-09
    Format
    Article
    Metadata
    [+] Show full item record
    Abstract
    Significant declines in quality of life for elders in assisted living communities are typically triggered by health events. Given the necessary information, such events can often be predicted, and thus, be avoided or reduced in severity. Statistics on activities of daily living and activity level over an extended period of time provide important data for functional assessment and health prediction. However, persistent activity monitoring and continuous collection of this type of data is extremely labor-intensive, time-consuming, and costly. In this work, we propose a method for automated estimation of activity levels based on silhouettes segmented from video data, and subsequent extraction of higher order information from the silhouettes. By building a regression model from this higher order information, our system can automatically estimate elder activity levels.
    URI
    http://hdl.handle.net/10355/9702
    Part of
    Electrical and Computer Engineering publications (MU)
    Citation
    Harvey N, Zhou Z, Keller JM, Rantz M & He Z, "Automated Estimation of Elder Activity Levels from Anonymized Video Data," Proceedings, 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Minneapolis, Minnesota, September 2-6, 2009, pp 7236-7239.
    Rights
    OpenAccess.
    This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License.
    Collections
    • Electrical Engineering and Computer Science publications (MU)

    Send Feedback
    hosted by University of Missouri Library Systems
     

     


    Send Feedback
    hosted by University of Missouri Library Systems