Gait analysis using floor markers and inertial sensors

Sensors

Volumn 12, Issue 2, 2012, Pages 1594-1611

  Do, Tri Nhut ^a   Suh, Young Soo ^a  

^a University of Ulsan   (South Korea)

Author keywords

Gait analysis; Image processing; Inertial sensors; Position estimation

Indexed keywords

ACCELERATION; ACTIMETRY; AMBULATORY MONITORING; ARTICLE; COMPUTER ASSISTED DIAGNOSIS; EQUIPMENT; EQUIPMENT DESIGN; FIDUCIAL MARKER; GAIT; HUMAN; INSTRUMENTATION; METHODOLOGY; PHOTOGRAPHY; PHYSIOLOGY; SHOE; TRANSDUCER;

ACCELERATION; ACTIGRAPHY; EQUIPMENT DESIGN; EQUIPMENT FAILURE ANALYSIS; FIDUCIAL MARKERS; GAIT; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MONITORING, AMBULATORY; PHOTOGRAPHY; SHOES; TRANSDUCERS;

EID: 84857554662     PISSN: 14248220     EISSN: None     Source Type: Journal    
DOI: 10.3390/s120201594     Document Type: Article

References (23)

1. Whittle, M.W. Gait analysis: An introduction, 4th ed.; Elsevier: Amsterdam, The Netherlands, 2007; p. 255.
2. Wang, F.; Stone, E.; Dai, W.; Skubic, M.; Keller, J. Gait Analysis and Validation Using Voxel Data. In Proceedings of 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2009), Minneapolis, MN, USA, 2-6 September 2009; pp. 6127-6130.
3. Liu, T.; Inoue, Y.; Shibata, K. Development of a wearable sensor system for quantitative gait analysis. Measurement 2009, 42, 978-988.
4. Hyde, R.A.; Ketteringham, L.P.; Neild, S.A.; Jones, R.J.S. Estimation of upper-limb orientation based on accelerometer and gyroscope measurements. IEEE Trans. Biomed. Eng. 2008, 55, 746-754.
5. Martin Schepers, H.; van Asseldonk, E.H.; Baten, C.T.; Veltink, P.H. Ambulatory estimation of foot placement during walking using inertial sensors. J. Biomech. 2010, 43, 3138-3143.
6. Sabatini, A.M. Quaternion-based strapdown integration method for applications of inertial sensing to gait analysis. Med. Biol. Eng. Comput. 2005, 43, 94-101.
7. Fiala, M. Artag Revision 1, a Fiducial Marker Sytem Using Digital Techniques; National Research Council Publication 47419/ERB-1117: Ottawa, Canada, 2004.
8. Fiala, M. Artag, a Fiducial Marker System Using Digital Techniques. In Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005, San Diego, CA, USA, 20-25 June 2005; Volume 2, pp. 590-596.
9. Fiala, M. Comparing Artag and Artoolkit Plus Fiducial Marker Systems. In Proceedings of IEEE International Workshop on Haptic Audio Visual Environments and their Applications, HAVE 2005, Ottawa, ON, Canada, 1-2 October 2005; pp. 148-153.
10. Shin, S.H.; Park, C.G.; Kim, J.W.; Hong, H.S.; Lee, J.M. Adaptive Step Length Estimation Algorithm Using Low-Cost Mems Inertial Sensors. In Proceedings of SAS 2007-IEEE Sensors Applications Symposium, San Diego, CA, USA, 6-8 February 2007.
11. Do, T.-N.; Suh, Y.-S. Foot Motion Tracking Using Vision. In Proceedings of 2011 IEEE 54th International Midwest Symposium on Circuits and Systems (MWSCAS), Seoul, Korea, 7-10 August 2011; pp. 1-4.
12. Park, S.K.; Suh, Y.S.; Do, T.N. The Pedestrian Navigation System Using Vision and Inertial Sensors In Proceedings of ICROS-SICE International Joint Conference 2009, Fukuoka, Japan, 18-21 August 2009; pp. 3970-3974.
13. Suh, Y.S.; Do, T.N.; Ro, Y.S.; Kang, H.J. A Smoother for Attitude Estimation Using Inertial and Magnetic Sensors. In Proceedings of 2010 IEEE Sensors, Kona, HI, USA, 1-4 November 2010; pp. 743-746.
14. 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.
15. Fischler, M.A.; Bolles, R.C. Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography. Commun. ACM 1981, 24, 381-395.
16. Phillips, W.F.; Hailey, C.E.; Gebert, G.A. Review of attitude representations used for aircraft kinematics. J. Aircr. 2001, 38, 718-737.
17. Kuipers, J.B. Quaternions and Rotation Sequences: A Primer with Applications to Orbits, Aerocpace, and Virtual Reality; Princeton University Press: Princeton, NJ, USA, 1999.
18. Shuster, M.D.; Oh, S.D. Three-axis attitude determination from vector observations. J. Guid. Control 1981, 4, 70-77.
19. Brown, R.G.; Hwang, P.Y.C. Introduction to Random Signals and Applied Kalman Filtering, 3rd ed.; John Wiley & Sons Inc.: New York, NY, USA, 1997.
20. Suh, Y.S. Orientation estimation using a quaternion-based indirect Kalman filter with adaptive estimation of external acceleration. IEEE Trans Instrum. Meas. 2010, 59, 3296-3305.
21. Gramkow, C. On averaging rotations. Int. J. Comput. Vis. 2001, 42, 7-16.
22. Zhang, Z. A flexible new technique for camera calibration. IEEE Trans. Pattern Anal. Mach. Intell. 2000, 22, 1330-1334.
23. Won, S.P.; Golnaraghi, F. A triaxial accelerometer calibration method using a mathematical model. IEEE Trans. Instrum. Meas. 2010, 59, 2144-2153.