Abstract
The ability to deliver therapeutic healthcare remotely relying on pervasive computing technologies requires addressing real research challenges ranging from sensing people and their interactions with the environment to software abstractions to move data from low-level signals into representations that are understandable and manipulatable by domain experts who are not computer scientists. In this position paper, we inspect the potential for immersive physiotherapy, just one of many potential application of real smart health. The time is right for delivering real services for immersive physiotherapy, as many technological solutions for remote monitoring of patients and their interactions are ready for prime time. In this paper, we take a critical look at remaining tasks, to propose novel concepts for data processing and service delivery of remote physiotherapy applications. We go beyond the obvious integration tasks to uncover real and tangible research challenges that are solvable in the near term and, when solved, will make the vision of immersive physiotherapy possible.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Black, J.P., Segmuller, W., Cohen, N., Leiba, B., Misra, A., Ebling, M.R., Stern, E.: Pervasive computing in health care: Smart spaces and enterprise information systems. In: MobiSys 2004 Workshop on Context Awareness (2004)
Fitbit. http://www.fitbit.com
Holloway, S.: Simplifying the Programming of Intelligent Environments. Ph.D. thesis, The University of Texas at Austin, May 2011
Kientz, J.A., Hayes, G.R., Westeyn, T.L., Starner, T., Abowd, G.D.: Pervasive computing and autism: Assisting caregivers of children with special needs. IEEE Pervasive Comput. 6(1), 28–35 (2007)
Myomo. http://www.myomo.com
Roy, N., Misra, A., Julien, C., Das, S.K., Biswas, J.: An energy efficient quality adaptive multi-modal sensor framework for context recognition. In: Proceedings of IEEE International Conference on Pervasive Computing and Communication, pp. 63–73, March 2011
Su, J., Scott, J., Hui, P., Crowcroft, J., de Lara, E., Diot, C., Goel, A., Lim, M.H., Upton, E.: Haggle: Seamless networking for mobile applications. In: Proceedings of the 9\(^{ th}\) International Conference on Ubiquitous Computing, pp. 391–408 (2007)
Young, A.D.: Comparison of orientation filter algorithms for realtime wireless inertial posture tracking. In: Proceedings of the 6th International Workshop on Wearable and Implantable Body Sensor Networks, pp. 59–64, June 2009
Zhang, Z., Wu, J.K., Wong, L.: Wearable sensors for 3d upper limb motion modeling and ubiquitous estimation. J. Control Theory Appl. 9(1), 10–17 (2011)
Zhang, Z., Wu, Z., Chen, J., Wu, J.-K.: Ubiquitous human body motion capture using micro-sensors. In: PerCom Workshops, pp. 1–5, March 2009
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Roy, N., Julien, C. (2015). Immersive Physiotherapy: Challenges for Smart Living Environments and Inclusive Communities. In: Bodine, C., Helal, S., Gu, T., Mokhtari, M. (eds) Smart Homes and Health Telematics. ICOST 2014. Lecture Notes in Computer Science(), vol 8456. Springer, Cham. https://doi.org/10.1007/978-3-319-14424-5_28
Download citation
DOI: https://doi.org/10.1007/978-3-319-14424-5_28
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-14423-8
Online ISBN: 978-3-319-14424-5
eBook Packages: Computer ScienceComputer Science (R0)