cational achievement can be seen in the rehabilita-
tion results fostered by this approach, which moti-
vated users and pushed them to overcome their lim-
its in order to reach new goals (e.g., a more pre-
cise pointing or a higher number of available notes).
But another educational valence of the proposed ap-
proach emerges in a flipped context, since the thera-
pist himself learned something about his patients from
the musical interaction they were able to produce to-
gether.
Concerning future work, we plan to track patients’
improvements over a longer period, extend this early
experimentation to a wider test group, and propose
such a computer-based solution to other therapists and
rehabilitation centers.
ACKNOWLEDGMENTS
The authors gratefully acknowledge the staff of Sim-
patia, and in particular the IT responsible Nicola Li-
boni, for their help and support.
REFERENCES
Cattaneo, P. (2009). La canzone come esperienza re-
lazionale, educativa, terapeutica. Universal Music
MGB Publications, Sesto Ulteriano, San Giuliano Mi-
lanese.
Elia, A. (2017). Con un fil di voce: dinamiche espressive tra
parlato e canto. In Cattaneo, P. and Lopez, L., editors,
Musicoterapia e Relazione. Franco Angeli, Milano.
Gieser, S. N., Boisselle, A., and Makedon, F. (2015). Real-
time static gesture recognition for upper extremity re-
habilitation using the leap motion. In International
Conference on Digital Human Modeling and Applica-
tions in Health, Safety, Ergonomics and Risk Manage-
ment, pages 144–154. Springer.
Gray, C. H., Figueroa-Sarriera, H. J., and Mentor, S. (1995).
The cyborg handbook.
Halberstam, J. M. and Livingston, I. (1995). Posthuman
bodies. Indiana University Press.
Hansson, S. O. (2007). The ethics of enabling technol-
ogy. Cambridge Quarterly of Healthcare Ethics,
16(3):257–267.
Hantrakul, L. and Kaczmarek, K. (2014). Implementations
of the leap motion device in sound synthesis and inter-
active live performance. In Proceedings of the 2014
International Workshop on Movement and Comput-
ing, page 142. ACM.
Haraway, D. (1991). Simians, cyborgs, and women: The
reinvention of nature. Routledge.
Iosa, M., Morone, G., Fusco, A., Castagnoli, M., Fusco,
F. R., Pratesi, L., and Paolucci, S. (2015). Leap motion
controlled videogame-based therapy for rehabilitation
of elderly patients with subacute stroke: a feasibility
pilot study. Topics in stroke rehabilitation, 22(4):306–
316.
Karageorghis, C. I. and Terry, P. C. (1997). The psy-
chophysical effects of music in sport and exercise: A
review. Journal of Sport Behavior, 20(1):54.
Khademi, M., Mousavi Hondori, H., McKenzie, A., Do-
dakian, L., Lopes, C. V., and Cramer, S. C. (2014).
Free-hand interaction with leap motion controller for
stroke rehabilitation. In Proceedings of the extended
abstracts of the 32nd annual ACM conference on Hu-
man factors in computing systems, pages 1663–1668.
ACM.
Lerner, N. and Straus, J. (2006). Sounding off: Theorizing
disability in music. Routledge.
Liu, Z., Zhang, Y., Rau, P.-L. P., Choe, P., and Gulrez, T.
(2015). Leap-motion based online interactive system
for hand rehabilitation. In International Conference
on Cross-Cultural Design, pages 338–347. Springer.
Lubet, A. (2011). Music, disability, and society. Temple
University Press.
Ludovico, L. A. and Mangione, G. R. (2014). Self-
regulation competence in music education. In
McPherson, M. and Nunes, M. B., editors, Proceed-
ings of the International Conference e-Learning 2014
(EL 2014), pages 46–54, Lisbon, Portugal. IADIS
Press.
Lupton, D. and Seymour, W. (2000). Technology, selfhood
and physical disability. Social science & medicine,
50(12):1851–1862.
Martin, A. J. (2008). Motivation and engagement in music
and sport: Testing a multidimensional framework in
diverse performance settings. Journal of personality,
76(1):135–170.
McPherson, G. E. and Renwick, J. M. (2001). A longi-
tudinal study of self-regulation in children’s musical
practice. Music Education Research, 3(2):169–186.
Penley, C. and Ross, A. (1991). Technoculture, volume 3.
U of Minnesota Press.
Ritter, M. and Aska, A. (2014). Leap motion as expressive
gestural interface. In ICMC.
Riva, G., Ba
˜
nos, R. M., Botella, C., Mantovani, F., and
Gaggioli, A. (2016). Transforming experience: the
potential of augmented reality and virtual reality for
enhancing personal and clinical change. Frontiers in
psychiatry, 7.
Scheufele, P. M. (2000). Effects of progressive relaxation
and classical music on measurements of attention, re-
laxation, and stress responses. Journal of behavioral
medicine, 23(2):207–228.
Schlaug, G., Norton, A., Overy, K., and Winner, E. (2005).
Effects of music training on the child’s brain and cog-
nitive development. Annals of the New York Academy
of Sciences, 1060(1):219–230.
Straus, J. N. (2011). Extraordinary measures: Disability in
music. Oxford University Press.
Taylor, J. and Curran, K. (2015). Using leap motion
and gamification to facilitate and encourage rehabil-
itation for hand injuries: leap motion for rehabilita-
tion. Handbook of Research on Holistic Perspectives
in Gamification for Clinical Practice, pages 183–192.
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