Advertisement

First Approach to Automatic Measurement of Frontal Plane Projection Angle During Single Leg Landing Based on Depth Video

  • Carlos Bailon
  • Miguel Damas
  • Hector Pomares
  • Oresti Banos
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10069)

Abstract

Knee alignment measurements are one of the most extended indicators of knee-complex injuries such as anterior cruciate ligament injury and patellofemoral pain syndrome. The Frontal Plane Projection Angle (FPPA) is widely used as a 2-D estimation of knee alignment. However, traditional procedures to measure this angle suffer from practical limitations, which leads to huge time investments when evaluating multiple subjects. This work presents a novel video analysis system aimed at supporting experts in the dynamic measurement of the FPPA in a cost-effective and easy way. The system employs Kinect V2 depth sensor to track reflective markers attached to the patient leg joints to provide an automatic estimation of the angle formed by the hip, knee and ankle joints. Information registered by the sensor is processed and managed by a computer application that simplifies expert’s work and expedites the analysis of the test results.

Keywords

Knee alignment Frontal Plane Projection Angle Reflective markers Anterior cruciate ligament Patellofemoral pain syndrome Depth video Kinect 2-D analysis 

Notes

Acknowledgements

This work was supported by the University of Granada Research Starting Grant 2015. This work was also partially supported by the Spanish Ministry of Economy and Competitiveness (MINECO) Projects TIN2015-71873-R and TIN2015-67020-P together with the European Fund for Regional Development (FEDER).

References

  1. 1.
    Bittencourt, N.F., Ocarino, J.M., Mendonça, L.D., Hewett, T.E., Fonseca, S.T.: Foot and hip contributions to high frontal plane knee projection angle in athletes: a classification and regression tree approach. J. Orthop. Sports Phys. Ther. 42(12), 996–1004 (2012)CrossRefGoogle Scholar
  2. 2.
    Hewett, T.E., Meyer, G.D., Ford, K.R.: Biomechanical measures of neuromuscular control and valgus loading of the knee predict anterior cruciate ligament injury risk in female athletes. Am. J. Sports Med. 33(4), 492–501 (2005)Google Scholar
  3. 3.
    Wyndow, N., Jong, A.D., Rial, K., Tucker, K., Collins, N., Vicencino, B., Rusell, T., Crossley, K.: The relationship of foot and ankle mobility to the frontal plane projection angle in asymptomatic adults. J. Foot Ankle Res. 9(3) (2016)Google Scholar
  4. 4.
    Starkey, C.: Injuries and illnesses in the national basketball association: a 10-year perspective. J. Athletic Training 35, 161–167 (2000)Google Scholar
  5. 5.
    Hootman, J.M., Dick, R., Agel, J.: Epidemiology of collegiate injuries for 15 sports: summary and recommendations for injury prevention initiatives. J. Athletic Training 42, 311–319 (2007)Google Scholar
  6. 6.
    Wilson, J.D., Ireland, M.L., Davis, I.: Core strength and lower extremity alignment during single leg squats. Med. Sci. Sports Exerc. 38, 945–952 (2006)CrossRefGoogle Scholar
  7. 7.
    Wilson, J.D., Davis, I.S.: Utility of the frontal plane projection angle in females with patellofemoral pain. J. Orthop. Sports Phys. Ther. 38(10), 606–615 (2008)CrossRefGoogle Scholar
  8. 8.
    Munro, A., Herrington, L., Carolan, M.: Reliability of 2-dimensional video assessment of frontal-plane dynamic knee valgus during common athletic screening tasks. J. Sport Rehabil. 21, 7–11 (2012)CrossRefGoogle Scholar
  9. 9.
    McLean, S.G., Walker, K., Ford, K.R., Myer, G.D., Hewett, T.E., van den Bogert, A.J.: Evaluation of a two dimensional analysis method as a screening and evaluation tool for anterior cruciate ligament injury. Brit. J. Sport Med. 39, 355–362 (2005)CrossRefGoogle Scholar
  10. 10.
    Favre, J., Jolles, B.M., Aissaoui, R., Aminian, K.: Ambulatory measurement of a 3D knee joint angle. J. Biomech. 42, 1029–1035 (2008)CrossRefGoogle Scholar
  11. 11.
    Hu, W., Charry, E., Umer, M., Ronchi, A., Taylor, S.: An inertial sensor system for measurement of tibia angle with applications to knee valgus/varus detection. In: 2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP) (2014)Google Scholar
  12. 12.
    Banos, O., Toth, M.A., Damas, M., Pomares, H., Rojas, I.: Dealing with the effects of sensor displacement in wearable activity recognition. Sensors 14(6), 9995–10023 (2014)CrossRefGoogle Scholar
  13. 13.
    Banos, O., Damas, M., Pomares, H., Rojas, I.: On the use of sensor fusion to reduce the impact of rotational and additive noise in human activity recognition. Sensors 12(6), 8039–8054 (2012)CrossRefGoogle Scholar
  14. 14.
    Vicon Motion Systems Ltd.: Vicon cameras. https://www.vicon.com. Accessed 06 June 2016
  15. 15.
    Northern Digital Inc.: Optotrak certus. http://www.ndigital.com/msci/products/optotrak-certus. Accessed 06 June 2016
  16. 16.
    Munro, A.G.: The use of two-dimensional motion analysis and functional performance tests for assessment of knee injury risk behaviours in athletes. Ph.D. thesis, School of Health Sciences, University of Salford, Salford, UK (2013)Google Scholar
  17. 17.
    Zeller, B.L., McCrory, J.L., Kibler, W.B., Uhl, T.L.: Differences in kinematics and electromyographic activity between man and women during the single-legged squat. Am. J. Sports Med. 31(3), 449–456 (2003)Google Scholar
  18. 18.
    Herrington, L., Munro, A.: Drop jump landing knee valgus angle; normative data in a phisically active population. Phys. Ther. Sport 11, 56–59 (2009)CrossRefGoogle Scholar
  19. 19.
    Lawrence, R.K.I., Kernozek, T.W., Miller, E.J., Torry, M.R., Reuteman, P.: Influences of hip external rotation strength on knee mechanics during single-leg drop landings in females. Clin. Biomech. 23, 806–813 (2008)CrossRefGoogle Scholar
  20. 20.
    Faude, O., Junge, A., Kindermann, W., Dvorak, J.: Injuries in female soccer players: a prospective study in the german national league. Am. J. Sports Med. 33(11), 1694–1700 (2005)CrossRefGoogle Scholar
  21. 21.
    Kamath, A.F., Israelite, C., Horneff, J., Lotke, P.A.: Editorial: What is varus or valgus knee alignment? a call for a uniform radiographic classification. Clin. Orthop. Relat. Res. 468(6), 1702–1704 (2010)CrossRefGoogle Scholar
  22. 22.
    Bonnechère, B., Scholukha, V., Moiseev, F., Rooze, M., Van Sint, J.S.: From Kinect to anatomically-correct motion modelling: Preliminary results for human application. In: Games for Health: Proceedings of the 3rd European Conference on Gaming and Playful Interaction in Health Care, pp. 15–26. Springer Fachmedien Wiesbaden (2013)Google Scholar
  23. 23.
    Wiedmann, L.G., Planinc, R., Nemec, I., Kampel, M.: Performance evaluation of joint angles obtained by the kinect v2. In: IET International Conference on Technlogies for Active and Assisted Living (TechAAL) (2015)Google Scholar
  24. 24.
    Li, L.: Time-of-flight camera - an introduction. Technical report, Texas Instruments (2014)Google Scholar
  25. 25.
    Andersen, M.R., Jensen, T., Lisouski, P., Mortensen, A.K., Hansen, M.K., Gregersen, T., Ahrendt, P.: Kinect depth sensor evaluation for computer vision applications. Technical report, Department of Engineering, Aarhus University (2012)Google Scholar
  26. 26.
    Lower, B., Relyea, B.: Programming Kinect for Windows v2: Jump start. https://mva.microsoft.com/en-US/training-courses/programming-kinect-for-windows-v2-jump-start. Accessed 17 Feb 2016
  27. 27.
    Pterneas, V.: Understanding kinect coordinate mapping. http://www.codeproject.com/Articles/769608/Understanding-Kinect-Coordinate-Mapping. Accessed 08 June 2016
  28. 28.
    SQLite. http://www.sqlite.org. Accessed 17 April 2016
  29. 29.
    Microsoft: Dynamic Data Display library. https://dynamicdatadisplay.codeplex.com. Accesed 08 June 2016

Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • Carlos Bailon
    • 1
  • Miguel Damas
    • 1
  • Hector Pomares
    • 1
  • Oresti Banos
    • 2
  1. 1.Department of Computer Architecture and Computer Technology, CITIC-UGR Research CenterUniversity of GranadaGranadaSpain
  2. 2.Telemedicine GroupUniversity of TwenteEnschedeNetherlands

Personalised recommendations