skip to main content
10.1145/1248054.1248075acmconferencesArticle/Chapter ViewAbstractPublication PagesmobisysConference Proceedingsconference-collections
Article

Automatic administration of the get up and go test

Published: 11 June 2007 Publication History

Abstract

In-home monitoring using sensors has the potential to improve the life of elderly and chronically ill persons, assist their family and friends in supervising their status, and provide early warning signs to the person's clinicians. The Get Up and Go test is a clinical test used to assess the balance and gait of a patient. We propose a way to automatically apply an abbreviated version of this test to patients in their residence using video data without body-worn sensors or markers.

References

[1]
Robertson, R. G. and Montagnini, M. "Geriatric Failure to Thrive," American Family Physician, 2004, 70:343--50.
[2]
Niyogi, S. A. and Adelson, E. H. "Analyzing and Recognizing Walking figures in XYT," Proc. IEEE Conf. Computer Vision and Pattern Recognition, pp. 469--474, 1994.
[3]
Mathias, S., Nayak, U., Isaacs, B. Balance in the elderly patient: The "Get-up and Go" test. Archives of Physical Medicine and Rehabilitation, vol. 67, pp. 387--389, 1986.
[4]
Lester, J., Choudhury, T. and Borriello, G., "A Practical Approach to Recognizing Physical Activities," Proceedings of Pervasive 2006, LNCS 3968, pp 1--16, 2006.
[5]
Kidd, C., Orr, R., Abowd, G., Atkeson, C., Essa, I., MacIntyre, B., Mynatt, E., Starner, T., and Newstetter, W. "The Aware Home: A Living Laboratory for Ubiquitous Computing Research," In the Proceedings of the Second International Workshop on Cooperative Buildings, CoBuild '99.
[6]
Intille, S. S., Larson, K., Munguia Tapia, E., Beaudin, J., Kaushik, P., Nawyn, J. and Rockinson, R. "Using a live-in laboratory for ubiquitous computing research," in Proceedings of PERVASIVE 2006, vol. LNCS 3968, K. P. Fishkin, B. Schiele, P. Nixon, and A. Quigley, Eds. Berlin Heidelberg: Springer-Verlag, 2006, pp. 349--365.
[7]
Taber, A., Kesharvarz, A., Aghajan, H. Smart home care network using sensor fusion and distributed vision-based reasoning. In Proceedings of the 4th ACM international Workshop on Video Surveillance and Sensor Networks, VSSN '06. ACM Press, New York, NY, 145--154.
[8]
Clarkson, B., Mase, K. and Pentland, A. "Recognizing User Context via Wearable Sensors," International Symposium on Wearable Computers, pp 69--76, 2000.
[9]
Lo, B. P., Wang, J. L. and Yang, G. Z. "From imaging networks to behavior profiling: Ubiquitous sensing for managed homecare of the elderly." In Adjunct Proceedings of the 3rd Int'l Conf. on Pervasive Computing May 2005.

Cited By

View all
  • (2020)Automation of the Timed-Up-and-Go Test Using a Conventional Video CameraIEEE Journal of Biomedical and Health Informatics10.1109/JBHI.2019.293434224:4(1196-1205)Online publication date: Apr-2020
  • (2019)Evaluation of Home-Based Rehabilitation Sensing Systems with Respect to Standardised Clinical TestsSensors10.3390/s2001002620:1(26)Online publication date: 19-Dec-2019
  • (2019)A Smart Environment-Adapting Timed-Up-and-Go System Powered by Sensor-Embedded InsolesIEEE Internet of Things Journal10.1109/JIOT.2018.28448376:2(1298-1305)Online publication date: Apr-2019
  • Show More Cited By

Index Terms

  1. Automatic administration of the get up and go test

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    HealthNet '07: Proceedings of the 1st ACM SIGMOBILE international workshop on Systems and networking support for healthcare and assisted living environments
    June 2007
    110 pages
    ISBN:9781595937674
    DOI:10.1145/1248054
    • General Chairs:
    • Robin Kravets,
    • Chiara Petrioli
    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]

    Sponsors

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 11 June 2007

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. activity detection
    2. remote monitoring
    3. sensors

    Qualifiers

    • Article

    Conference

    Mobisys07
    Sponsor:

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)1
    • Downloads (Last 6 weeks)0
    Reflects downloads up to 13 Feb 2025

    Other Metrics

    Citations

    Cited By

    View all
    • (2020)Automation of the Timed-Up-and-Go Test Using a Conventional Video CameraIEEE Journal of Biomedical and Health Informatics10.1109/JBHI.2019.293434224:4(1196-1205)Online publication date: Apr-2020
    • (2019)Evaluation of Home-Based Rehabilitation Sensing Systems with Respect to Standardised Clinical TestsSensors10.3390/s2001002620:1(26)Online publication date: 19-Dec-2019
    • (2019)A Smart Environment-Adapting Timed-Up-and-Go System Powered by Sensor-Embedded InsolesIEEE Internet of Things Journal10.1109/JIOT.2018.28448376:2(1298-1305)Online publication date: Apr-2019
    • (2018)Automated Timed Up & Go Test for functional decline assessment of older adultsProceedings of the 12th EAI International Conference on Pervasive Computing Technologies for Healthcare10.1145/3240925.3240960(208-216)Online publication date: 21-May-2018
    • (2018)Automatic Timed Up-and-Go Sub-Task Segmentation for Parkinson’s Disease Patients Using Video-Based Activity ClassificationIEEE Transactions on Neural Systems and Rehabilitation Engineering10.1109/TNSRE.2018.287573826:11(2189-2199)Online publication date: Nov-2018
    • (2017)Empowering a gait feature-rich timed-up-and-go system for complex ecological environmentsProceedings of the Second IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies10.1109/CHASE.2017.117(340-347)Online publication date: 17-Jul-2017
    • (2015)Toward Automating Clinical Assessments: A Survey of the Timed Up and GoIEEE Reviews in Biomedical Engineering10.1109/RBME.2015.23906468(64-77)Online publication date: 2015
    • (2014)Day or Night Activity Recognition From Video Using Fuzzy Clustering TechniquesIEEE Transactions on Fuzzy Systems10.1109/TFUZZ.2013.226075622:3(483-493)Online publication date: 1-Jun-2014
    • (2010)Sit-to-stand detection using fuzzy clustering techniquesInternational Conference on Fuzzy Systems10.1109/FUZZY.2010.5584843(1-8)Online publication date: Jul-2010
    • (2009)MutualityProceedings of the 10th International Conference NZ Chapter of the ACM's Special Interest Group on Human-Computer Interaction10.1145/1577782.1577784(5-12)Online publication date: 6-Jul-2009
    • Show More Cited By

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Figures

    Tables

    Media

    Share

    Share

    Share this Publication link

    Share on social media