Published date:Feb 09 2017

Journal Title: KnE Engineering

Issue title: The International Conference on Design and Technology

Pages:267-273

DOI: 10.18502/keg.v2i2.625

Nicholas de Boernicholas.deboer@deakin.edu.au

Hamid Abdi

Michael Fielding

Saeid Nahavandi

[1] C. A. McGibbon, Toward a Better Understanding of Gait Changes With Age and Disablement: Neuromuscular Adaptation, Exercise and Sport Sciences Reviews, 31, 102–108, (2003), 10.1097/00003677- 200304000-00009.


[2] M. Vukobratovic, and D. Juricic, Contribution to the Synthesis of Biped Gait, Biomedical Engineering, IEEE Transactions on, BME-16, 1–6, (1969), 10.1109/TBME.1969.4502596.


[3] M. Pantic, A. Pentland, A. Nijholt, and T. Huang, Human Computing and Machine Understanding of Human Behavior: A Survey, in Artifical Intelligence for Human Computing, T. Huang, A. Nijholt, M. Pantic, and A. Pentland ed., vol. 4451, Springer, Berlin Heidelberg, 47–71, (2007).


[4] R. B. Davis Iii, S. Õunpuu, D. Tyburski, and J. R. Gage, A gait analysis data collection and reduction technique, Human Movement Science, 10, no. 10, 575–587, (1991).


[5] T. B. Moeslund, A. Hilton, and V. Krüger, A survey of advances in vision-based human motion capture and analysis, Computer Vision and Image Understanding, 104, no. 11, 90–126, (2006), 10.1016/j.cviu.2006.08.002.


[6] S. J. M. Bamberg, A. Y. Benbasat, D. M. Scarborough, D. E. Krebs, and J. A. Paradiso, Gait Analysis Using a Shoe-Integrated Wireless Sensor System, Information Technology in Biomedicine, IEEE Transactions on, 12, 413–423, (2008), 10.1109/TITB.2007.899493.


[7] F. Juefei-Xu, C. Bhagavatula, A. Jaech, U. Prasad, and M. Savvides, Gait-ID on the move: Pace independent human identification using cell phone accelerometer dynamics, in Biometrics: Theory, Applications and Systems (BTAS), 2012 IEEE Fifth International Conference on, 2012, pp. 8–15.


[8] J. D. M. Robert Goldma, Jr, Creating Realistic Data Sets with Specified Properties via Simulation, International Conference on Technology in Collegiate Mathematics, 18, (n.d.).


[9] N. A. Sharkey, and A. J. Hamel, A dynamic cadaver model of the stance phase of gait: performance characteristics and kinetic validation, Clinical Biomechanics, 13, no. 9, 420–433, (1998), 10.1016/S0268-0033(98)00003-5.


[10] H. C. Sun, and D. N. Metaxas, Automating gait generation, presented at the Proceedings of the 28th
annual conference on Computer graphics and interactive techniques, (2001).


[11] K. Aminian, B. Najafi, C. Büla, P. F. Leyvraz, and P. Robert, Spatio-temporal parameters of gait measured by an ambulatory system using miniature gyroscopes, Journal of Biomechanics, 35, no. 5, 689–699, (2002), 10.1016/S0021-9290(02)00008-8.


[12] D. Cunado, M. S. Nixon, and J. N. Carter, Automatic extraction and description of human gait models for recognition purposes, Computer Vision and Image Understanding, 90, no. 4, 1–41, (2003), 10.1016/S1077-3142(03)00008-0.


[13] T. B. Moeslund, and E. Granum, A Survey of Computer Vision-Based Human Motion Capture, Computer Vision and Image Understanding, 81, no. 3, 231–268, (2001), 10.1006/cviu.2000.0897.


[14] M. Goffredo, R. D. Seely, J. N. Carter, and M. S. Nixon, Markerless view independent gait analysis with self-camera calibration, in Automatic Face & Gesture Recognition, 2008. FG ’08. 8th IEEE International Conference on, 2008, pp. 1–6.


[15] V. T. I. J. B. Saunders, and H. D. Eberhart, The Major determinants in normal and pathological gait, Bone Joint Surg. Am., 35A, 543–558, (1953), 10.2106/00004623-195335030-00003.


[16] M. O. C. K. M. Culhane, D. Lyons, and G. M. Lyons, Accelerometers in rehabilitation medicine for older adults, Age Ageing, 34, no. Nov, 556–650, (2005), 10.1093/ageing/afi192.


[17] J. McCormick, K. Vincs, S. Nahavandi, and D. Creighton, Learning to dance with a human, (2013).


[18] P. T. K. John D. Willson, PhD Gait Data Sets, ed: University of Wisconsin-LaCrosse, (2011).