skip to main content
10.1145/2609829.2609836acmconferencesArticle/Chapter ViewAbstractPublication PagesmobisysConference Proceedingsconference-collections
research-article

Robotics enabled in-home environment screening for fall risks

Authors Info & Claims
Published:11 June 2014Publication History

ABSTRACT

Fall risks present in living environment are the leading cause of mortality in older adults. Falling on the floor may cause great harm to older people living alone, which in many cases goes unnoticed for several days until the symptoms become severe. Limited number of trained professionals to assess a house for fall risks and higher costs make the prevention of fall risks inaccessible to many necessitous patients. Removing these potential risk factors can provide older adults a safer living condition for their daily activities. This paper presents the design of a robot control system for in-home environment screening. This system is designed to be capable of supporting both manual and autonomous fall-risk assessment. The developed system allows a teleoperator to assess a house remotely along with capabilities to measure distance between 2 objects, assessing lighting conditions, and interacting with the patient using telepresence.

References

  1. B. Alexander, K. Hsiao, C. Jenkins, B. Suay, and R. Toris. Robot web tools {ros topics}. Robotics Automation Magazine, IEEE, 19(4):20--23, Dec 2012.Google ScholarGoogle ScholarCross RefCross Ref
  2. A. Enes and W. Book. Blended shared control of zermelo's navigation problem. In American Control Conference (ACC), 2010, pages 4307--4312, June 2010.Google ScholarGoogle ScholarCross RefCross Ref
  3. P. Griffiths and R. Gillespie. Shared control between human and machine: haptic display of automation during manual control of vehicle heading. In Haptic Interfaces for Virtual Environment and Teleoperator Systems, 2004. HAPTICS '04. Proceedings. 12th International Symposium on, pages 358--366, March 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. G. Grisetti, C. Stachniss, and W. Burgard. Improved techniques for grid mapping with rao-blackwellized particle filters. Robotics, IEEE Transactions on, 23(1):34--46, Feb 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. A. Hornung, K. M. Wurm, M. Bennewitz, C. Stachniss, and W. Burgard. OctoMap: An efficient probabilistic 3D mapping framework based on octrees. Autonomous Robots, 2013. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Microsoft Development Center. Understanding and interpreting lux values. http://msdn.microsoft.com/en-us/library/windows/desktop/dd319008(v=vs.8%5).aspx.Google ScholarGoogle Scholar
  7. Open Source Robotics Foundation. Turtlebot 2. http://turtlebot.com/.Google ScholarGoogle Scholar
  8. W. Osei, D. Rasali, J. Hawkey, S. McCrae, and S. Johnson. Cost implications of falls injury hospitalizations in older residents in saskatchewan, canada. Annals of Epidemiology, 17(9):739--, 2007.Google ScholarGoogle ScholarCross RefCross Ref
  9. G. Peeters, N. M. van Schoor, and P. Lips. Fall risk: the clinical relevance of falls and how to integrate fall risk with fracture risk. Best Practice and Research Clinical Rheumatology, 23(6):797--804, 2009.Google ScholarGoogle ScholarCross RefCross Ref
  10. K. L. Perell, A. Nelson, R. L. Goldman, S. L. Luther, N. Prieto-Lewis, and L. Z. Rubenstein. Fall risk assessment measures: An analytic review. 56(12):M761--M766, 2001.Google ScholarGoogle Scholar
  11. M. Quigley, K. Conley, B. Gerkey, J. Faust, T. Foote, J. Leibs, R. Wheeler, and A. Y. Ng. Ros: an open-source robot operating system. In ICRA workshop on open source software, volume 3, 2009.Google ScholarGoogle Scholar

Index Terms

  1. Robotics enabled in-home environment screening for fall risks

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Conferences
      MARS '14: Proceedings of the 2014 workshop on Mobile augmented reality and robotic technology-based systems
      June 2014
      60 pages
      ISBN:9781450328234
      DOI:10.1145/2609829

      Copyright © 2014 ACM

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 11 June 2014

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • research-article

      Acceptance Rates

      MARS '14 Paper Acceptance Rate6of7submissions,86%Overall Acceptance Rate6of7submissions,86%

      Upcoming Conference

      MOBISYS '24

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader