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Related Experiment Video

Updated: May 14, 2026

Comprehensive Understanding of Inactivity-Induced Gait Alteration in Rodents
04:37

Comprehensive Understanding of Inactivity-Induced Gait Alteration in Rodents

Published on: July 6, 2022

Capturing habitual, in-home gait parameter trends using an inexpensive depth camera.

Erik E Stone1, Marjorie Skubic

  • 1Center for Eldercare and Rehabilitation, Technology, Department of Electrical and Computer Engineering, University of Missouri, Columbia, MO 65211, USA. ees6c6@mizzou.edu

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|February 1, 2013
PubMed
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This study demonstrates continuous, in-home gait monitoring for older adults using a depth camera. The findings highlight the potential for passive, long-term assessment of walking speed and stride parameters.

Area of Science:

  • Gerontology
  • Biomedical Engineering
  • Rehabilitation Science

Background:

  • Gait parameters (walking speed, stride time, stride length) are crucial for assessing health in older adults, including fall risk and early disease detection.
  • Current gait assessments are often infrequent and rely on technology unsuitable for continuous, long-term home monitoring.
  • There is a need for unobtrusive, cost-effective methods for long-term gait analysis in natural environments.

Purpose of the Study:

  • To present a methodology for continuous, passive gait parameter measurement in older adults' homes.
  • To evaluate the feasibility of using an inexpensive depth camera for long-term gait monitoring.
  • To generate trend data for key gait parameters over a four-month period.

Main Methods:

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3D Kinematic Gait Analysis for Preclinical Studies in Rodents
10:19

3D Kinematic Gait Analysis for Preclinical Studies in Rodents

Published on: August 3, 2019

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Last Updated: May 14, 2026

Comprehensive Understanding of Inactivity-Induced Gait Alteration in Rodents
04:37

Comprehensive Understanding of Inactivity-Induced Gait Alteration in Rodents

Published on: July 6, 2022

3D Kinematic Gait Analysis for Preclinical Studies in Rodents
10:19

3D Kinematic Gait Analysis for Preclinical Studies in Rodents

Published on: August 3, 2019

  • Five older adults were continuously monitored in their homes over four months.
  • A Microsoft Kinect depth camera was deployed to passively measure gait parameters.
  • A methodology was developed to identify walking sequences and extract gait metrics from the sensor data.
  • Main Results:

    • The study successfully collected continuous gait data, including walking speed, stride time, and stride length, from five participants.
    • Trend estimates for these gait parameters were generated, demonstrating the system's capability for longitudinal analysis.
    • The use of an inexpensive depth camera proved feasible for unobtrusive, in-home gait monitoring.

    Conclusions:

    • Continuous, passive gait monitoring in the home environment is achievable using affordable depth camera technology.
    • This approach offers a promising method for long-term health surveillance and early detection of changes in older adults.
    • The generated trend data can inform personalized interventions and improve health outcomes for the aging population.