Upper Body Joint Angle Measurements for Physical Rehabilitation Using Visual Feedback

  • Marília BarandasEmail author
  • Hugo Gamboa
  • José Manuel Fonseca
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8908)


In clinical rehabilitation, biofeedback increases patient’s motivation making it one of the most effective motor rehabilitation mechanisms. In this field, it is very helpful for the patient and even for the therapist to know the level of success and performance of the training process. New rehabilitation technologies allow new forms of therapy for patients with Range of Motion (ROM) disorders. The aim of this work is to introduce a simple biofeedback system in a clinical environment for ROM measurements, since there is currently a lack of practical and cost-efficient methods available for this purpose. The Microsoft Kinect™ introduces the possibility of low cost, non intrusive human motion analysis in the rehabilitation field. In this paper we conduct a comparison study of the accuracy in the computation of ROM measurements between the Kinect™ Skeleton Tracking provided by Microsoft and the proposed algorithm based on depth analysis. Experimental results showed that our algorithm is able to overcome the limitations of the Microsoft algorithm when the pose estimation is used as a measuring system making it a valuable rehabilitation tool.


Biofeedback Depth camera Range of motion 


  1. 1.
    Lünenburger, L., Colombo, G., Riener, R.: Biofeedback for robotic gait rehabilitation. J. NeuroEng. Rehabil. 4(1), 1 (2007)CrossRefGoogle Scholar
  2. 2.
    Begg, R., Palaniswami, M.: Computational Intelligence for Movement Sciences: Neural Networks and Other Emerging Techniques. Idea Group Publishing, Hershey (2006)CrossRefGoogle Scholar
  3. 3.
    Dutta, T.: Evaluation of the kinect sensor for 3-D kinematic measurement in the workplace. Appl. Ergon. 43, 645–649 (2011)CrossRefGoogle Scholar
  4. 4.
    Pece, F., Kautz, J., Weyrich, T.: Three depth-camera technologies compared. In: Engineering in Medicine and Biology Society, pp. 1188–1193 (2012)Google Scholar
  5. 5.
    Kourosh Khoshelham and Sander Oude Elberink: Accuracy and resolution of kinect depth data for indoor mapping applications. Sensors 12(2), 1437–1454 (2012)Google Scholar
  6. 6.
    Clark, R.A., Pua, Y.-H., Fortin, K., Ritchie, C., Webster, K.E., Denehy, L., Bryant, A.L.: Validity of the microsoft kinect for assessment of postural control. Gait & Posture 36(3), 372–377 (2012)CrossRefGoogle Scholar
  7. 7.
    Obdrzálek, Š., Kurillo, G., Ofli, F., Bajcsy, R., Seto, E., Jimison, H., Pavel, M.: Accuracy and robustness of kinect pose estimation in the context of coaching of elderly population. In: Engineering in Medicine and Biology Society, pp. 1188–1193 (2012)Google Scholar
  8. 8.
    Fernández-Baena, A., Susin, A., Lligadas, X.: Biomechanical validation of upper-body and lower-body joint movements of kinect motion capture data for rehabilitation treatments. In: 2012 4th International Conference on Intelligent Networking and Collaborative Systems (INCoS), pp. 656–661. IEEE (2012)Google Scholar
  9. 9.
    Kitsunezaki, N., Adachi, E., Masuda, T., Mizusawa, J.: Kinect applications for the physical rehabilitation. In: 2013 IEEE International Symposium on Medical Measurements and Applications Proceedings (MeMeA), pp. 294–299. IEEE (2013)Google Scholar
  10. 10.
    Metsis, V., Jangyodsuk, P., Athitsos, V., Iversen, M., Makedon, F.: Computer aided rehabilitation for patients with rheumatoid arthritis. In: 2013 International Conference on Computing, Networking and Communications (ICNC), pp. 97–102. IEEE (2013)Google Scholar
  11. 11.
    Beckert, J., Silva, F., Palma, S.: Inter-rater reliability of the visual estimation of shoulder abduction angles and the agreement of measurements with an accelerometer. In: Proceedings of ECSS2009, Oslo, Norway (2009)Google Scholar
  12. 12.
    Bernmark, E., Wiktorin, C.: A triaxial accelerometer for measuring arm movements. Appl. Ergon. 33(6), 541–547 (2002)CrossRefGoogle Scholar
  13. 13.
    Loomis, A.: Figure Drawing for All It’s Worth. Penguin Group (USA) Incorporated, New York (1943)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Marília Barandas
    • 1
    Email author
  • Hugo Gamboa
    • 1
  • José Manuel Fonseca
    • 2
  1. 1.Physics DepartmentFCT-UNLCaparicaPortugal
  2. 2.Department of Electrotechnical EngineeringFCT-UNLCaparicaPortugal

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