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.
References
[1]
Perry, J. Gait Analysis: Normal and Pathological Function; SLACK Incoporated: Thorofare, NJ, USA, 1992.
[2]
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.
[3]
Yun, J. User identification using gait patterns on UbiFloorII. Sensors 2011, 11, 2611–2639.
[4]
Teixido, M.; Palleja, T.; Tresanchez, M.; Nogues, M.; Palacin, J. Measuring oscillating walking paths with a LIDAR. Sensors 2011, 11, 5071–5086.
[5]
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.
[6]
Kappel, S.L.; Rathleff, M.S.; Hermann, D.; Simonsen, O.; Karstoft, H.; Ahrendt, P. A novel method for measuring in-shoe navicular drop during gait. Sensors 2012, 12, 11697–11711.
[7]
Tao, W.; Liu, T.; Zheng, R.; Feng, H. Gait analysis using wearable sensors. Sensors 2012, 12, 2255–2283.
[8]
Schepers, H.M.; Koopman, H.F.J.M.; Veltink, P.H. Ambulatory assessment of ankle and foot dynamics. IEEE Trans. Biomed. Eng. 2007, 54, 895–902.
[9]
Do, T.N.; Suh, Y.S. Gait analysis using floor markers and inertial sensors. Sensors 2012, 12, 1594–1611.
[10]
Titterton, D.H.; Weston, J.L. Strapdown Inertial Navigation Technology; IPeter Peregrinus Ltd.: Reston, VA, USA, 1997.
[11]
Foxlin, E. Pedestrian tracking with shoe-mounted inertial sensors. IEEE Comput. Graph. Appl. 2005, 25, 38–46.
[12]
Ojeda, L.; Borenstein, J. Non-GPS navigation for security personnel and first responders. J. Navig. 2007, 60, 391–407.
[13]
Bebek, O.; Suster, M.A.; Rajgopal, S.; Fu, M.J.; Xuemei, H.; Cauvusoglu, M.C.; Young, D.J.; Mehregany, M.; van den Bogert, A.J.; Mastrangelo, C.H. Personal navigation via high-resolution gait-corrected inertial measurement units. IEEE Trans. Instrum. Meas. 2010, 59, 3018–3027.
[14]
Kelly, A. Personal Navigation System based on Dual Shoe-Mounted IMUs and Intershoe Ranging. Proceedings of the Precision Personnel Locator Workshop 2011, Worcester, MA, USA, 1–2 August 2011.
[15]
Suh, Y.S.; Phuong, N.H.Q.; Kang, H.J. Distance estimation using inertial sensor and vision. Int. J. Control, Automation Syst. 2013, 11, 211–215.
[16]
Markley, F.L. Multiplicative vs. Additive Filtering for Spacecraft Attitude Determination. Proceedings of 6th Cranfield Conference on Dynamics and Control of Systems and Structures in Space, Riomaggiore, Italy, 18–22 July 2004; pp. 467–474.
[17]
Forsyth, D.A.; Ponce, J. Computer Vision: A Modern Approach; Prentice Hall: New York, NY, USA, 2003.
[18]
Lu, C.P.; Hager, G.D.; Mjolsness, E. Fast and globally convergent pose estimation from video images. IEEE Trans. Pattern Anal. Mach. Intell. 2000, 22, 610–622.
[19]
Peruzzi, A.; Croce, U.D.; Cereatti, A. Estimation of stride length in level walking using an inertial measurement unit attached to the foot: A validation of the zero velocity assumption during stance. J. Biomechan. 2011, 44, 1991–1994.
[20]
Suh, Y.S. A smoother for attitude and position estimation using inertial sensors with zero velocity intervals. IEEE Sens. J. 2012, 12, 1255–1262.
[21]
Brown, R.G.; Hwang, P.Y.C. Introduction to Random Signals and Applied Kalman Filtering; John Wiley & Sons: New York, NY, USA, 1997.
