The use of joint coordinates to monitor patients in a movement-based interaction system
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Movement-based interaction has brought about new possibilities in healthcare environments. Concretely, rehabilitation therapies represent an adequate domain in which this kind of systems can produce significant benefits. In this context, the authors have developed SIVIRE, a movement-based interaction system whose main contributions are a virtual online editor of exercises with the capacity to adapt the rehabilitation to the patients’ conditions and evolution. During the development process, we have considered some aspects regarding the monitoring process to improve the quality and accuracy of the system, such as monitoring the patient’s postures, which is a critical procedure in order to properly correct and guide them. Specifically, this paper presents a descriptive study of three methods that address the monitoring process in a different way: the first using joint coordinates, the second based on bones coordinates and the last using the angles generated by the bones. Following the analysis of these three different mechanisms, the authors discuss the reason to identify the use of joint coordinates as the best technique to monitor patients in this kind of movement-based interaction systems. Such technique has been applied in the development of SIVIRE. Finally, we present the results of the evaluation of the system implemented with this monitoring mechanism. The outcomes prove that SIVIRE offers a reliable and useful tool to support rehabilitation therapies, both for patients and physiotherapists.
KeywordsRehabilitation Healthcare Movement-based interaction Monitoring
This work has been partially funded by project with reference UCTR150497 from the Castilla-La Mancha Regional Government: Junta de Comunidades de Castilla-La Mancha, Consejería de Empleo y Economía. We would also like to thank Tecon Solutions Informática S.L. for their collaboration on this application.
- 1.Brooke, J.: SUS—A Quick and Dirty Usability Scale. Digital Equipment Co., Ltd, Reading (1996)Google Scholar
- 2.Fernández-Valls, J.A., Penichet, V.M., Lozano, M.D., Garrido, J.E.: Getting-up rehabilitation therapy supported by movement based interaction techniques. DYNA 82(193), 241–249 (2015). https://doi.org/10.15446/dyna.v82n193.53500ISSN0012-7353 CrossRefGoogle Scholar
- 4.ISO/IEC 25062,: SQuaRE—Common Industry Format (CIF) for usability test reports. ISO (2006)Google Scholar
- 5.Khronos Group.: WebGL. OpenGL ES 2.0 for the Web. Retrieved from https://www.khronos.org/webgl
- 6.Lymberis, A.,Smart, A.: Wearables for remote health monitoring, from prevention to rehabilitation: current R&D, future challenges. In Proceedings of the 4th International IEEE EMBS Conference on Information Technology Applications in Biomedicine, pp. 272–275 (2003)Google Scholar
- 8.RespondWell. Telerehabilitation Software. http://respondwell.com/. Accessed 01 May 2016]
- 9.Sugarman, H., Weisel-Eichler, A., Burstin, A., Brown, R.: Use of novel virtual reality system for the assessment and treatment of unilateral spatial neglect: a feasibility study. In Proceedings of the 2011 International Conference on Virtual Rehabilitation Zurich, Switzerland, June 27–29, 2011. New York: IEEE. doi: 10.1109/ICVR.2011.5971859
- 10.Virtualware Group. 2013. Virtual Rehab. http://virtualrehab.info/product/. Accessed 02 May 2016
- 11.Westhealth Institute. Reflexion Rehabilitation Measure Tool. http://www.westhealth.org/institute/our-priorities/reflexion. Accessed 01 May 2016