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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 660Validity of Kinect for Assessment of Joint Motion...

Validity of Kinect for Assessment of Joint Motion during Gait

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Abstract:

One of the most common methods employed in gait analysis is the optical measurement method. While many analyzer systems are available commercially, the prices of those systems are rather prohibitive. In this work, an alternative method to obtain gait data using Microsoft Kinect^TM (Kinect) is investigated. Kinect, a 3D camera system created for gaming purposes, offers an ability which may be suitable for application in gait analysis. It has high mobility, needs no marker, is easy to use, and its price is relatively affordable. However, the performance of Kinect as a measurement tools in gait analysis must be first evaluated. In this work, Kinect is utilized to obtain joint movements of human walking motion to evaluate its suitability as an alternative motion analyzer in gait analyses. The data generated by Kinect are then processed to obtain gait parameters. The resulting parameters are compared to those obtained by 3D Motion Analyzer System that uses multi-camera previously developed. The results show promising prospect for Kinect application in gait analysis.

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Advances in Mechanical, Materials and Manufacturing Engineering

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Periodical:

Applied Mechanics and Materials (Volume 660)

Pages:

921-926

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.660.921

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Online since:

October 2014

Authors:

Muhammad Rijal Abdurrahman*, Tatacipta Dirgantara, Sandro Mihradi, Andi Isra Mahyuddin

Keywords:

Gait Analysis, KINECT, Optical Motion Analysis

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* - Corresponding Author

[1] D. Hodgins, The importance of measuring human gait, Med Device Technol. (2008), 19(5): 42, 44-7.

[2] D.A. Winter, Biomechanics and Motor Control of Human Movement, Fourth ed., John Wiley & Sons, Inc., New Jersey, (2009).

[3] T. Dirgantara, A.I. Mahyuddin, S. Mihradi, Development of Affordable Optical Based Gait Analysis Systems, ASEAN Engineering Journal (2012), 2(1): 12 – 29.

[4] A.I. Mahyuddin, S. Mihradi, Development of an Affordable System for 2D Kinematics and Dynamics Analysis of Human Gait. Proceeding of SPIE – The International Society for Optical Engineering (2010), 7522.

[5] N. Juliyad, Development of 2D Observational Optical Motion System for Human Gait Analysis, FTMD ITB, Bandung, (2010).

[6] U.M. Purba, S. Mihradi, T. Dirgantara, A.I. Mahyuddin, 2D Kinematics and Kinetics Analysis of Human Gait, FTMD ITB, Bandung, (2010).

[7] A.I. Mahyuddin, S. Mihradi, T. Dirgantara, M. Moeliono, T. Prabowo, Development of Indonesian Gait Database Using 2D Optical Motion Analyzer System, ASEAN Engineering Journal Part A (2012), 2(2): 62 – 72.

DOI: 10.1016/j.promfg.2015.07.047

[8] W.L. Buana, Development of a Seven Segment Multibody Model for Kinematic and Kinetic Analysis of Human Gait, Undergraduate Thesis, ITB, Bandung, 2012. (in Indonesian).

[9] R. Kurniasari, Development of Double-sided Optical Motion Analyzer, Undergraduate Thesis, ITB, Bandung, 2012. (in Indonesian).

[10] A.I. Henda, Software Development for 3D Kinematics and Kinetics Analysis of Human Walking, Master Thesis, ITB, Bandung, 2012. (in Indonesian).

[11] Ferryanto, The Development of an Image Processing System for 3D Gait Analysis with Improved Accuracy, Master Thesis, ITB, Bandung, 2012. (in Indonesian).

[12] T. Akbar, The Loading Effects of Backpack on Upper-Extremity Motion, Undergraduate Thesis, ITB, Bandung, 2013. (in Indonesian).

[13] LaBelle, Kathryn, Evaluation of Kinect Joint Tracking for Clinical and In-home Stroke Rehabilitation Tools, Notre Dame, Indiana, (2011).

[14] A.F. Baena, A. Susin, X. Lligada, Biomechanical Validation of Upper-body and Lower-body Joint Movements of Kinect Motion Capture Data for Rehabilitation Treatment, Intelligent Networking and Collaborative Systems, Fourth International Conference (2012).

DOI: 10.1109/incos.2012.66

[15] R.A. Clark, Y.H. Pua, K. Fortin, C. Ritchie, K.E. Webster, L. Denehy, A.L. Bryant, Validity of the Microsoft Kinect for Assessment of Postural Control. Gait Posture (2012). http: /dx. doi. org/10. 1016/j. gaitpost. 2012. 03. 033.

DOI: 10.1016/j.gaitpost.2012.03.033

[16] E. Stone, M. Skubic, Evaluation of an Inexpensive Depth Camera for In-home Gait Assessment, Journal of Ambient Intelligence and Smart Environments (2011), 3(4): 349 – 361.

DOI: 10.3233/ais-2011-0124

[17] M. Gabel, R. Gilad-Bachrach, E. Renshaw, A. Shuster, Full Body Gait Analysis with Kinect, Annual International Conference of the IEEE Engineering in Medicine and Biology Society (2012).

DOI: 10.1109/embc.2012.6346340

[18] Information on http: /www. gizmag. com/kinect-for-windows/20585/ (accessed in December 2012).

[19] Information on http: /msdn. microsoft. com/en-us/library/hh438998. aspx (accessed in December 2012).