Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2013 Apr 29;13(5):5614-29.
doi: 10.3390/s130505614.

Inertial sensor-based two feet motion tracking for gait analysis

Tran Nhat Hung  1 , Young Soo Suh
Affiliations

Inertial sensor-based two feet motion tracking for gait analysis

Tran Nhat Hung et al. Sensors (Basel). .

Abstract

Two feet motion is estimated for gait analysis. An inertial sensor is attached on each shoe and an inertial navigation algorithm is used to estimate the movement of both feet. To correct inter-shoe position error, a camera is installed on the right shoe and infrared LEDs are installed on the left shoe. The proposed system gives key gait analysis parameters such as step length, stride length, foot angle and walking speed. Also it gives three dimensional trajectories of two feet for gait analysis.

PubMed Disclaimer

Figures

Figure 1.
Figure 1.
Picture of the proposed system.
Figure 2.
Figure 2.
Five coordinate systems (indicated coordinate axes are top-view).
Figure 3.
Figure 3.
Eight infrared LED configuration.
Figure 4.
Figure 4.
Infrared LED images during walking.
Figure 5.
Figure 5.
Typical two feet movement in the navigation coordinate system.
Figure 6.
Figure 6.
Estimated two feet trajectories on the xy plane.
Figure 7.
Figure 7.
Zero velocity intervals and vision data available intervals.
Figure 8.
Figure 8.
Estimated trajectories in the three dimensional space.
Figure 9.
Figure 9.
Estimated attitude of the left foot (Euler angles).
Figure 10.
Figure 10.
Vision-based position estimation accuracy experiment results in the body 1 coordinate system.
Figure 11.
Figure 11.
One walking step estimation accuracy.
Figure 12.
Figure 12.
Step length estimation error.
Figure 13.
Figure 13.
Estimated Step length.
See this image and copyright information in PMC

References

    1. Perry J. Gait Analysis: Normal and Pathological Function. SLACK Incoporated; Thorofare, NJ, USA: 1992.
    1. Karaulova I.A., Hall P.M., Marshall A.D. Tracking people in three dimensions using a hierarchical model of dynamics. Image Vision Comput. 2002;20:691–700.
    1. Yun J. User identification using gait patterns on UbiFloorII. Sensors. 2011;11:2611–2639. - PMC - PubMed
    1. Teixido M., Palleja T., Tresanchez M., Nogues M., Palacin J. Measuring oscillating walking paths with a LIDAR. Sensors. 2011;11:5071–5086. - PMC - PubMed
    1. Zhang B., Jiang S., Wei D., Marschollek M., Zhang W. State of the Art in Gait Analysis Using Wearable Sensors for Healthcare Applications. Proceedings of 2012 IEEE/ACIS 11th International Conference on the Computer and Information Science, (ICIS); Shanghai, China. 30 May 2012; pp. 213–218.

Publication types