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2017 | OriginalPaper | Chapter

Automatic 2D Motion Capture System for Joint Angle Measurement

Authors : Carlos Bailon, Miguel Damas, Hector Pomares, Oresti Banos

Published in: Advances in Computational Intelligence

Publisher: Springer International Publishing

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Abstract

Joints angles are some of the most common measurements for the evaluation of lower limb injury risk, specially of lower limb joints. The 2D projections of these angles, as the Frontal Plane Projection Angle (FPPA), are widely used as an estimation of the angle value. Traditional procedures to measure 2D angles imply huge time investments, primarily when evaluating multiple subjects. This work presents a novel 2D video analysis system directed to capture the joint angles in a cost-and-time-effective way. It employs Kinect V2 depth sensor to track retro-reflective markers attached to the patient’s joints to provide an automatic estimation of the desired angles. The information registered by the sensor is processed and managed by a computer application that expedites the analysis of the results. The reliability of the system has been studied against traditional procedures obtaining excellent results. This system is aimed to be the starting point of an autonomous injury prediction system based on machine learning techniques.

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Literature
1.
Starkey, C.: Injuries and illnesses in the national basketball association: a 10-year perspective. J. Athl. Train. 35, 161–167 (2000)
2.
Hootman, J.M., Dick, R., Agel, J.: Epidemiology of collegiate injuries for 15 sports: summary and recommendations for injury prevention initiatives. J. Athl. Train. 42, 311–319 (2007)
3.
Feller, J., Webster, K.E.: Return to sport following anterior cruciate ligament reconstruction. Int. Orthop. 37, 285–290 (2013)CrossRef
4.
Hewett, T.E., Stasi, S.L.D., Myer, G.D.: Current concepts for injury prevention in athletes after anterior cruciate ligament reconstruction. Am. J. Sports Med. 41(1), 216–224 (2013)CrossRef
5.
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)CrossRef
6.
Gregori, D., Berchialla, P., Foltran, F.: Comparing bayesian network, artificial neural networks, classification trees and classical logistic models in quantitative risk assessment: an application to the european registry of foreign body injuries in children. Inj. Prev. 16, A216 (2010)
7.
de la Cruz-Marquez, J.C., de la Cruz-Campos, A., de la Cruz-Campos, J.C., Cueto-Martin, M.B., Garcia-Jimenez, M., Campos-Blasco, M.T.: Prediction of sports injuries by mathematical models. In: An International Prospective on Topics in Sports Medicine and Sports Injury, pp. 333–354. InTech (2012). Number 18
8.
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, 492–501 (2005)CrossRef
9.
Banos, O., Villalonga, C., Damas, M., Gloesekoetter, P., Pomares, H., Rojas, I.: Physiodroid: combining wearable health sensors and mobile devices for a ubiquitous, continuous, and personal monitoring. Sci. World J. 2014(490824), 1–11 (2014)CrossRef
10.
Banos, O., Moral-Munoz, J.A., Diaz-Reyes, I., Arroyo-Morales, M., Damas, M., Herrera-Viedma, E., Hong, C.S., Lee, S., Pomares, H., Rojas, I., Villalonga, C.: mDurance: a novel mobile health system to support trunk endurance assessment. Sensors 15(6), 13159–13183 (2015)CrossRef
11.
Bonnechère, B., Sholukha, V., Moiseev, F., Rooze, M., Van Sint, J.S.: From KinectTM to anatomically-correct motion modelling: preliminary results for human application. In: Schouten, B., Fedtke, S., Bekker, T., Schijven, M., Gekker, A. (eds.) Games for Health, pp. 15–26. Springer, Wiesbaden (2013). doi:10.​1007/​978-3-658-02897-8_​2 CrossRef
12.
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)
13.
Amon, C., Fuhrmann, F.: Evaluation of the spatial resolution accuracy of the face tracking system for Kinect for Windows V1 and V2. In: 6th Congress of Aplh-Adria Acoustics Association (2014)
14.
Sarbolandi, H., Lefloch, D., Kolb, A.: Kinect range sensing: structured-light versus time-of-flight Kinect. J. Comput. Vis. Image Underest. 139, 1–20 (2015)CrossRef
15.
Bailon, C., Damas, M., Pomares, H., Banos, O.: First Approach to Automatic Measurement of Frontal Plane Projection Angle During Single Leg Landing Based on Depth Video, pp. 44–55. Springer International Publishing, Heidelberg (2016)
16.
17.
18.
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)CrossRef
19.
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. Br. J. Sport Med. 39, 355–362 (2005)CrossRef
20.
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)CrossRef
21.
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)
22.
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)
23.
Herrington, L., Munro, A.: Drop jump landing knee valgus angle; normative data in a phisically active population. Phys. Ther. Sport 11, 56–59 (2009)CrossRef
24.
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)CrossRef
25.
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)CrossRef
26.
Bland, J.M., Altman, D.G.: A note on the use of the intraclass correlation coeffcient in the evaluation of agreement between two methods of measurement. Comput. Biol. Med. 20(5), 337–340 (1990)CrossRef
27.
Prieto, L., Lamarca, R., Casado, A.: La evaluacion de la fiabilidad de las observaciones clnicas: el coeficiente de correlacion intraclase. Medicina Clnica 110, 142–145 (1998)
Metadata
Title
Automatic 2D Motion Capture System for Joint Angle Measurement
Authors
Carlos Bailon
Miguel Damas
Hector Pomares
Oresti Banos
Copyright Year
2017
Book
Advances in Computational Intelligence

Print ISBN: 978-3-319-59146-9

Electronic ISBN: 978-3-319-59147-6

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-59147-6_7

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