Abstract
We propose in this paper new techniques for correction and parameterization of motion capture sequences containing upper-body exercises for physical therapy. By relying on motion capture sequences we allow therapists to easily record new patient-customized exercises intuitively by direct demonstration. The proposed correction and parameterization techniques allow the modification of recorded sequences in order to 1) correct and modify properties such as alignments and constraints, 2) customize prescribed exercises by modifying parameterized properties such as speed, wait times and exercise amplitudes, and 3) to achieve real-time adaptation by monitoring user performances and updating the parameters of each exercise for improving the therapy delivery. The proposed techniques allow autonomous virtual therapists to improve the whole therapy process, from exercise definition to delivery.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Anderson, F., Grossman, T., Matejka, J., Fitzmaurice, G.W.: YouMove: enhancing movement training with an augmented reality mirror. In: Proceedings of User Interface Software and Technology (UIST), pp. 311–320. ACM (2013)
Camporesi, C., Huang, Y., Kallmann, M.: Interactive motion modeling and parameterization by direct demonstration. In: Allbeck, J., Badler, N., Bickmore, T., Pelachaud, C., Safonova, A. (eds.) IVA 2010. LNCS (LNAI), vol. 6356, pp. 77–90. Springer, Heidelberg (2010)
Glardon, P., Boulic, R., Thalmann, D.: A coherent locomotion engine extrapolating beyond experimental data. In: Proceedings of Computer Animation and Social Agent, pp. 73–84 (2004)
Grealy, M., Nasser, B.: The use of virtual reality in assisting rehabilitation. Advances in Clinical Neuroscience and Rehabilitation 13(9), 19–20 (2013)
Holden, M.K.: Virtual environments for motor rehabilitation: review. Cyberpsichology and Behavior 8(3), 187–211 (2005)
Kovar, L., Gleicher, M.: Automated extraction and parameterization of motions in large data sets. ACM Transaction on Graphics 23(3), 559–568 (2004)
Lange, B., Koenig, S., Chang, C.Y., McConnell, E., Suma, E., Bolas, M., Rizzo, A.: Designing informed game-based rehabilitation tasks leveraging advances in virtual reality. Disability and Rehabilitation 34(22), 1863–1870 (2012)
Levac, D.E., Galvin, J.: When is virtual reality “therapy?”. Archives of Physical Medicine and Rehabilitation 94(4), 795–798 (2013)
Liu, C.K., Popović, Z.: Synthesis of complex dynamic character motion from simple animations. ACM Trans. Graph. 21(3), 408–416 (2002)
Lü, H., Li, Y.: Gesture coder: a tool for programming multi-touch gestures by demonstration. In: Proceedings of the 2012 ACM Annual Conference on Human Factors in Computing Systems, pp. 2875–2884. ACM (2012)
Ma, W., Xia, S., Hodgins, J.K., Yang, X., Li, C., Wang, Z.: Modeling style and variation in human motion. In: Proceedings of the ACM SIGGRAPH/Eurographics Symposium on Computer Animation, SCA (2010)
RoseIII, C.F., Sloan, P.P.J., Cohen, M.F.: Artist-directed inverse-kinematics using radial basis function interpolation. Computer Graphics Forum (Proceedings of Eurographics) 20(3), 239–250 (2001)
Salvati, M., Le Callennec, B., Boulic, R.: A Generic Method for Geometric Contraints Detection. In: Eurographics (2004)
Skoglund, A., Iliev, B., Palm, R.: Programming-by-demonstration of reaching motions - a next-state-planner approach. Robotics and Aut. Systems 58(5) (2010)
Velloso, E., Bulling, A., Gellersen, H.: Motionma: Motion modelling and analysis by demonstration. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI 2013, pp. 1309–1318. ACM, New York (2013)
Wollersheim, D., Merkes, M., Shields, N., Liamputtong, P., Wallis, L., Reynolds, F., Koh, L.: Physical and psychosocial effects of Wii video game use among older women. Intl Journal of Emerging Technologies and Society 8(2), 85–98 (2010)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Camporesi, C., Popelar, A., Kallmann, M., Han, J. (2014). Motion Parameterization and Adaptation Strategies for Virtual Therapists. In: Bickmore, T., Marsella, S., Sidner, C. (eds) Intelligent Virtual Agents. IVA 2014. Lecture Notes in Computer Science(), vol 8637. Springer, Cham. https://doi.org/10.1007/978-3-319-09767-1_13
Download citation
DOI: https://doi.org/10.1007/978-3-319-09767-1_13
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-09766-4
Online ISBN: 978-3-319-09767-1
eBook Packages: Computer ScienceComputer Science (R0)