Skip to main content
SpringerLink
Log in

A Virtual Rehabilitation Solution Using Multiple Sensors

  • Conference paper
  • First Online:
ICTs for Improving Patients Rehabilitation Research Techniques (REHAB 2014)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 515))

Included in the following conference series:

Abstract

Stroke is the major cause of long-term motor impairments that are affecting millions of people. The process of physical rehabilitation is sometimes not available to some patients and is also usually slow and demotivating. In this paper we introduce a new solution that uses the concept of interactive games using motion sensors to improve the rehabilitation results. It features a motion sensor server that supports a growing array of sensors (currently Microsoft Kinect, Leap Motion, Orbotix Sphero and Smartphones) and merge their data into a single protocol that can be used for any purpose. The use of different sensors, even simultaneously, allows the rehabilitation of specific parts of the body. This data can be stored in a server for physicians to analyse and can clearly reveal the evolution of the patient in the rehabilitation process.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. The world health report 2002 - Reducing Risks, Promoting Healthy Life. World Health Organization (2002)

    Google Scholar 

  2. Alankus, G., Proffitt, R., Kelleher, C., Engsberg, J.R.: Stroke therapy through motion-based games: a case study. TACCESS 4(1), 3 (2011)

    Article  Google Scholar 

  3. Bach-y-Rita, P., Wood, S., Leder, R., Paredes, O., Bahr, D., Bach-y-Rita, E., Murillo, N.: Computer-assisted motivating rehabilitation (CAMR) for institutional, home, and educational late stroke programs. Top. Stroke Rehabil. 8(4), 1–10 (2002)

    Article  Google Scholar 

  4. Chang, Y.-J., Chen, S.-F., Huang, J.-D.: A kinect-based system for physical rehabilitation: a pilot study for young adults with motor disabilities. Res. Dev. Disabil. 32(6), 2566–2570 (2011)

    Article  Google Scholar 

  5. Deutsch, J., Latonio, J., Burdea, G., Boian, R.: Post-stroke rehabilitation with the rutgers ankle system: a case study. Presence 10(4), 416–430 (2001)

    Article  Google Scholar 

  6. Ferreira, L., Ambrosio, P.: Towards an interoperable health-assistive environment: the ehealthcom platform. In: BHI, pp. 930–932. IEEE (2012)

    Google Scholar 

  7. Kitsunezaki, N., Adachi, E., Masuda, T., Mizusawa, J.-I.: Kinect applications for the physical rehabilitation. In: Medical Measurements and Applications Proceedings (MeMeA), pp. 294–299. IEEE (2013)

    Google Scholar 

  8. Kleim, J., Jones, T., Schallert, T.: Motor enrichment and the induction of plasticity before or after brain injury. Neurochem. Res. 28(11), 1757–1769 (2003)

    Article  Google Scholar 

  9. Langhorne, P., Coupar, F., Pollock, A.: Motor recovery after stroke: a systematic review. Lancet Neurol. 8(8), 741–754 (2009)

    Article  Google Scholar 

  10. Lotze, M., Cohen, L.G.: Volition and imagery in neurorehabilitation. Cogn. Behav. Neurol. 19(3), 135–140 (2006)

    Article  Google Scholar 

  11. Lozano-Quilis, J., Gil-Gómez, H., Gil-Gómez, J., Albiol-Pérez, S., Palacios, G., Fardoum, H.M., Mashat, A.S.: Virtual reality system for multiple sclerosis rehabilitation using kinect. In: Pervasive Computing Technologies for Healthcare (PervasiveHealth), pp. 366–369. IEEE (2013)

    Google Scholar 

  12. Matos, N., Santos, A., Vasconcelos, A.: Kinteract: a multi-sensor physical rehabilitation solution based on interactive games. In: Proceedings of the 8th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth 2014). Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering (ICST) (2014)

    Google Scholar 

  13. Monir, S., Rubya, S., Ferdous, H.S.: Rotation and scale invariant posture recognition using microsoft kinect skeletal tracking feature. In: Abraham, A., Zomaya, A.Y., Ventura, S., Yager, R., Snásel, V., Muda, A.K., Samuel, P. (eds.) ISDA, pp. 404–409. IEEE (2012)

    Google Scholar 

  14. Öberg, T., Karsznia, A., Öberg, K.: Basic gait parameters: reference data for normal subjects, 10–79 years of age. J. Rehabil. Res. Dev. 30, 210–210 (1993)

    Google Scholar 

  15. Saini, S., Rambli, D.R.A., Sulaiman, S., Zakaria, M.N., Shukri, S.R.M.: A low-cost game framework for a home-based stroke rehabilitation system. In: Computer & Information Science (ICCIS), vol. 1, pp. 55–60. IEEE (2012)

    Google Scholar 

  16. Shaughnessy, M., Resnick, B., Macko, R.: Testing a model of post-stroke exercise behavior. Rehabil. Nurs. 31(1), 15–21 (2006)

    Article  Google Scholar 

  17. VirtualWare Group. Virtualrehab, February 2014. http://virtualrehab.info/

Download references

Acknowledgments

The authors would like to thank CRPG, namely Dra. Cristina Crisóstomo and Dra. Alexandra Couto, for their support, and acknowledge the financial support from North Portugal Regional Operational Programme (ON.2 - O Novo Norte), Portuguese National Strategic Reference Framework (NSRF) and the European Regional Development Fund (ERDF) from European Union through the project “Fall Competence Center” NORTE-07-0124-FEDER-000041.

Author information

Authors and Affiliations

  1. Fraunhofer AICOS, Rua Alfredo Allen 455, 4200-135, Porto, Portugal

    Nuno Matos, António Santos & Ana Vasconcelos

Authors
  1. Nuno Matos
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. António Santos
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Ana Vasconcelos
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to António Santos .

Editor information

Editors and Affiliations

  1. King Abdulaziz University, Jeddah, Saudi Arabia

    Habib M. Fardoun

  2. University of Castilla - La Mancha, Albacete, Spain

    Victor M R. Penichet

  3. King Abdulaziz University, Jeddah, Saudi Arabia

    Daniyal M. Alghazzawi

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Matos, N., Santos, A., Vasconcelos, A. (2015). A Virtual Rehabilitation Solution Using Multiple Sensors. In: Fardoun, H., R. Penichet, V., Alghazzawi, D. (eds) ICTs for Improving Patients Rehabilitation Research Techniques. REHAB 2014. Communications in Computer and Information Science, vol 515. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-48645-0_13

Download citation

  • DOI: https://doi.org/10.1007/978-3-662-48645-0_13

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-48644-3

  • Online ISBN: 978-3-662-48645-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation