Call for Paper - November 2022 Edition
IJCA solicits original research papers for the November 2022 Edition. Last date of manuscript submission is October 20, 2022. Read More

Analyzing and Measuring Human Joints Movements using a Computer Vision System

International Journal of Computer Applications
© 2012 by IJCA Journal
Volume 45 - Number 20
Year of Publication: 2012
Ahmad Sedkyadly
M. B. Abdelhalim

Ahmad Sedkyadly, M B Abdelhalim and Amrbadr. Article: Analyzing and Measuring Human Joints Movements using a Computer Vision System. International Journal of Computer Applications 45(20):21-29, May 2012. Full text available. BibTeX

	author = {Ahmad Sedkyadly and M. B. Abdelhalim and Amrbadr},
	title = {Article: Analyzing and Measuring Human Joints Movements using a Computer Vision System},
	journal = {International Journal of Computer Applications},
	year = {2012},
	volume = {45},
	number = {20},
	pages = {21-29},
	month = {May},
	note = {Full text available}


Range and patterns of movement estimation is a crucial concern for clinicians in the diagnostic and functional assessment of patients with musculoskeletal disorder. To obtain a record of the degree of permanent impairment of an individual, Range-Of-Motion (ROM) measures are used. Currently, clinicians use all or any of numerous assessment instruments, a universal goniometer, an inclinometer or a tape measure to make these estimations. However, such tools appear to have major drawbacks in measuring ROM. Markerless vision-based human motion analysis can provide an inexpensive, non-obtrusive solution for range of joint motion measurement. This paper outlines the problem of measuring human joints movements using a computer vision system that supports the physiotherapist as a diagnosis tool to aid rehabilitation of joint movement disorders and its treatment plan.


  • AnkurAgarwal, Bill Triggs, "Tracking articulated motion using a mixture of autoregressive models", in: Proceedings of the European Conference on Computer Vision (ECCV'04), Lecture Notes in Computer Science, vol. 3 (3024), May 2004, pp. 54–65.
  • AnkurAgarwal, Bill Triggs, "A local basis representation for estimating human pose from cluttered images", in: Proceedings of the Asian Conference on Computer Vision (ACCV'06)—Part 1, Lecture Notes in Computer Science, vol. 3851, January 2006, pp. 50–59.
  • AnkurAgarwal, Bill Triggs, "Recovering 3D human pose from monocular images", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 28 no. 1, January 2006, pp. 44-58.
  • Jake K. Aggarwal, Qin Cai, "Human motion analysis: a review, Computer Vision and Image Understanding" Vol. 73, No. 3, March 1999, pp. 428-440.
  • Park, W. , "Data-Based Human Motion Simulation", in Handbook of Digital Human Modelling, Taylor & Francis Group,LLC, 2009, p. 9.
  • Abdel-Malek, K. , and Arora, J. (2009), "Physics-Based Digital Human Modeling:Predictive Dynamics," in Handbook of Digital Human Modelling, ed. V. G. Duffy.
  • S. Biswas, M. Quwaider, "Body posture identification using Hidden Markov Model with wearable sensor networks", International Conference on Body Area Networks, March 2008, pp. 52-59.
  • H. Y. Lau, K. Y. Tong, H. Zhu, "Support vector machine for classification of walking condition using miniature kinematic sensors", Med. Biol. Eng. Comput. , Vol. 46, No. 6,June 2008, pp. 563-573.
  • H Zhou and H. Hu, "A survey - human movement tracking and stroke rehabilitation", Technical Report CSM-420, ISSN1744-8050, University of Essex, 2004.
  • Farrell, K. and Marler, R. T. , 2004, "Optimization-based kinematic models for human posture", SAE Digital Human Modeling for Design and Engineering (June 14-16, 2005), Iowa City, IA.
  • Computer aided kinematics and dynamics of mechanical systems, by E. J. Haug, Allyn and Bacon, Boston, 1989.
  • Dariu M. Gavrila, "The visual analysis of human movement: A survey", Computer Vision and Image Understanding, Vol. 73, nr. 1, 1999, pp. 82-98.
  • Thomas B. Moeslund, Erik Granum, "A survey of computer vision-based human motion capture", Computer Vision and Image Understanding Vol. 104 No. 2, November 2006, pp. 90-126.
  • Thomas B. Moeslund, Adrian Hilton, Volker Kru¨ger, A survey of advances in vision-based human motion capture and analysis, Computer Vision and Image Understanding, Vol. 104 No. 2, Nov. 2006, pp. 90-126.
  • Liang Wang, Weiming Hu, Tieniu Tan, "Recent developments in human motion analysis", Pattern Recognition, Vol. 36, No. 3, 2003, pp. 585-601.
  • Jessica J. Wang, Sameer Singh, "Video analysis of human dynamics: a survey", Real-Time Imaging,Vol. 9 No. 5, 2003, pp. 321–346.
  • Ausejo, S. , and Wang, X. (2009), "Motion Capture and Human Motion Reconstruction," in Handbook of Digital Human Modeling, ed. V. Duffy.
  • Goussous, F. , Bhatt, R. , Dasgupta, S. , and Abdel-Malek, K. , "Model Predictive Control for Human Motion Simulation", doi:10. 4271/2009-01-2306.
  • Silva, M. , Abe, Y. , and Popovic, J. , "Simulation of Human Motion Data Using Short-Horizon Model Predictive Control", ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH 2008, Vol. 27 Issue 3, August 2008, Article No. 82.
  • Cohen, M. F. , "Interactive spacetime control for animation", Computer Graphics, Vol. 26, No. 2, 1992.
  • Xiang, Y. , Chung, H. -J. , Kim, J. , Bhatt, R. , Rahamatalla, S. , Yang, J. , Marler, T. , Arora, J. , and Abdel-Malek, K. , "Predictive Dynamics: An Optimization-Based Novel Approach for Human Motion Simulation", Structural and Multidisciplinary Optimization, Vol. 41, No. 3, Aug 2009.
  • Shao, W. and Ng-Thow-Hing, V. , 2003, "A general joint component framework for realistic articulation in human characters" In Proceedings of the 2003 Symposium on interactive 3D Graphics, April 27-30, 2003), New York, NY, pp. 11-18.
  • Rahmatalla, S. , Xiang, Y. , Smith, R. , Li, J. , Meusch, J. , Bhatt, R. , Swan, C. , Arora, J. , and Abdel-Malek, K. (2008), "A Validation Protocol for Predictive Human Location," 2008 SAE International.
  • K. D. Nguyen, I. M. Chen, Z. Luo, S. H. Yeo, H. L. Duh, "A wearable sensing system for tracking and monitoring of functional arm movement", IEEE/ASME Transactions on Mechatronics, Vol. PP, No. 99, Feb. 2010, pp. 1-8.
  • K. Lorincz, B. Chen, G. W. Challen, A. R. Chowdhury, S. Patel, P. Bonato, M. Welsh, "Mercury: A wearable sensor network platform for high-fidelity motion analysis", Embedded Networked Sensor Systems Conf. (SenSys'09), 4-6 November 2009.
  • Mark Hall, Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer, Peter Reutemann, Ian H. Witten, "The WEKA Data Mining Software: An Update; SIGKDD Explorations, Vol. 11, No. 1,2009, pp. 10-18.
  • Jerome Vignola, Jean-François Lalonde and Robert Bergevin,"Progressive Human Skeleton Fitting". Proceedings of 16th Conference, Vision Interface, 2003.
  • Chen, C. , Zhuang, Y. T. and Xiao, J. (2006) "Towards robust 3D reconstruction of human motion from monocular video", Proceedings of ICAT, LNCS, Hangzhou, Vol. 4282, pp. 594-603.
  • Kirkpatrick, S. ; Gelatt, C. D. ; Vecchi, M. P. "Optimization by Simulated Annealing". Science, New Series, Vol. 220, No. 4598. (May 13, 1983), pp. 671-680.
  • ?erný, V. "Thermodynamical approach to the traveling salesman problem: An efficient simulation algorithm", Journal of Optimization Theory and Applications,1985, 45:41–51, doi:10. 1007/BF00940812.
  • Metropolis, Nicholas; Rosenbluth, Arianna W. ; Rosenbluth, Marshall N. ; Teller, Augusta H. ; Teller, Edward, "Equation of State Calculations by Fast Computing Machines", The Journal of Chemical Physics,Vol. 21,No. 6, 1953,pp. 1087.
  • A. Ude, "Robust estimation of human body kinematics from video," in IROS'99, 1999, pp. 1489–1494.
  • Ayoub, M. M. and Lin, C. J. , "Biomechanics of manual material handling through simulation: Computational aspects. ", Computers and Industrial Engineering, Vol. 29, No. 1,1995,pp. 427-431.
  • Phillips, C. B. , Zhao, J. , and Badler, N. , 1990, "Interactive real-time articulated figure manipulation using multiple kinematic constraints", ACM SIGGRAPH Computer Graphics, Vol. 24, No. 2, pp. 245-250.
  • Zhao, J. and Badler, N. I. , 1994, "Inverse kinematics positioning using nonlinear programming for highly articulated figures", ACM Trans. Graph. , Vol. 13, No. 4, pp. 313-336.
  • Emily Horn, "Optimization-Based Dynamic Human Motion Prediction", University of Iowa, December 2005, (MS Thesis).
  • Hyun-joon Chung,"Optimization-based dynamic prediction of 3D human running",Theses and Dissertations(2009), University of Iowa.
  • Grochow, K. , Martin, S. L. , Hertzmann, A. , and Popovi?, Z. , 2004, "Style-based inverse kinematics", ACM Transactions on Graphics, Vol. 23, No. 3, pp. 522-531.
  • Mi, Z. , Yang, J. , and Abdel-Malek, K. , 2002, "Real-time inverse kinematics for humans," Proceedings of 2002 ASME Design Engineering Technical Conferences (September 29-October 2, 2002), Montreal, Canada.
  • Tolani, D. , Goswami, A. , and Badler, N. , 2000, "Real-time inverse kinematics techniques for anthropomorphic limbs", Graphical Models, Vol. 62, No. 5, pp. 353-388.
  • Beck, D. J. and Chaffin, D. B. , 1992, "An evaluation of inverse kinematics models for posture prediction", Computer Applications in Ergonomics, Occupational Safety and Health, Elsevier, Amsterdam, The Netherlands, pp. 329-336.
  • SerdarKucuk, ZaferBingul,"Robot Kinematics: Forward and Inverse Kinematics",Industrial Robotics Theory Modelling& Control,2006, ISBN:3-86611-285-8
  • Xiang, Y. , Arora, J. , and Abdel-Malek, K. , "OptimizationBased Motion Prediction of Mechanical Systems: Sensitivity Analysis", Structural And Multidisciplinary Optimization, Vol. 37, No. 6, 2007, pp. 595-608.
  • TanmayPawar, SubhasisChaudhuri, Siddhartha P. Duttagupta, "Body movement activity recognition for ambulatory cardiac monitoring", IEEE Transactions on Biomedical Engineering, Vol. 54, No. 5, May 2007, pp. 874-882.
  • Abdel-Malek, K. , Yu, W. , Jaber, M. , and Duncan, J. , "Realistic Posture Prediction for Maximum Dexterity", SAE Transactions Journal of Passenger Cars-Mechanical Systems, Vol. 110, Section 6, 2002, pp. 2241-2249.
  • V. Krovi, V. Kumar, G. K. Ananthasuresh, and J. M. Vezien, "Design and virtual prototyping of rehabilitation aids", Journal of Mechanical Design, Transactions of the ASME, Vol. 121, No. 3, pp. 456–458, 1999.
Learn about the IJCA article correction policy and process
Dealing with any form of infringement.
‘Peer Review – A Critical Inquiry’ by David Shatz
Directly place requests for print/ hard copies of IJCA via Google Docs