Skip to main content

Movement Sonification for the Diagnosis and the Rehabilitation of Graphomotor Disorders

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8905))

Abstract

The dynamic features of sounds make them particularly appropriate for assessing the spatiotemporal characteristics of movements. Furthermore, sounds can inform about the correctness of an ongoing movement without directly interfering with the visual and proprioceptive feedback. Finally, because of their playful characteristics, sounds are potentially effective for motivating writers in particular need of any writing assistance. By associating relevant sounds to the specific variables of handwriting movement, the present chapter aimed at reporting how supplementary auditory information allows an examiner (teacher or therapist) to assess the movement quality from his/her hearing. Furthermore, a writer could also improve his/her movement from this real-time auditory feedback. Sonification of some movement characteristics would be a relevant tool for the diagnosis and the rehabilitation of some developmental disabilities (e.g. dysgraphia) or acquired disorders (e.g. Parkinson’s disease).

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

Buying options

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
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Aramaki, M., Besson, M., Kronland-Martinet, R., Ystad, S.: Controlling the perceived material in an impact sound synthesizer. IEEE Trans. Audio Speech Lang. Process. 19(2), 301–314 (2011)

    Article  Google Scholar 

  2. Bangert, M., Häusler, U., Altenmüller, E.: On Practice: how the brain connects piano keys and piano sounds. Ann. N.Y. Acad. Sci. 930, 425–428 (2001)

    Article  Google Scholar 

  3. Baur, B., Fürholzer, W., Marquart, C., Hermsdörfer, J.: Auditory grip force feedback in the treatment of writer’s cramp. J. Hand Ther. 22, 163–171 (2009)

    Article  Google Scholar 

  4. Charles, M., Soppelsa, R., Albaret, J.M.: BHK - Échelle d’Evaluation Rapide de l’Ecriture chez l’Enfant. Editions et Applications Psychologiques, Paris (2003)

    Google Scholar 

  5. Chen, J.L., Penhume, V.B., Zatorre, R.J.: Listening to musical rhythms recruits motor regions of the brain. Cereb. Cortex 18(12), 2844–2854 (2008)

    Article  Google Scholar 

  6. Chin, J., Diehl, V., Norman, K.: Development of an instrument measuring user satisfaction of the human-computer interface. In: Proceedings of ACM CHI ’88, ACM Press, New York (1988)

    Google Scholar 

  7. Danna, J., Eusebio, A., Azulay, J.P., Witjas, T., Pinto, S., Velay, J.L.: Computerized analysis of spiral drawing in Parkinson’s disease. Mov. Disord. 29(Suppl. 1), 313 (2014)

    Google Scholar 

  8. Danna, J., Fontaine, M., Paz-Villagrán, V., Gondre, C., Thoret, E., Aramaki, M., Kronland-Martinet, R., Ystad, S., Velay, J.L.: The effect of real-time auditory feedback on learning new characters. Hum. Mov. Sci. (in revision)

    Google Scholar 

  9. Danna, J., Paz-Villagrán, V., Gondre, C., Aramaki, M., Kronland-Martinet, R., Ystad, S., Velay, J.L.: Handwriting sonification for the diagnosis of dysgraphia. In: Nakagawa, M., Liwicki, M., Zhu, B. (eds.) Recent Progress in Graphonomics: Learn from the Past – Proceedings of the 16th Conference of the International Graphonomics Society, pp. 123–126. Tokyo University of Agriculture and Technology Press, Tokyo, Japan (2013)

    Google Scholar 

  10. Danna, J., Paz-Villagrán, V., Velay, J.L.: Signal-to-noise velocity peak difference: a new method for evaluating the handwriting movement fluency in children with dysgraphia. Res. Dev. Disabil. 34, 4384–4675 (2013)

    Article  Google Scholar 

  11. Effenberg, A.O.: Movement sonification: effects on perception and action. IEEE Multim. 12, 53–59 (2005)

    Article  Google Scholar 

  12. Hamstra-Bletz, L., DeBie, J., den Brinker, B.: Concise Evaluation Scale for Children’s Handwriting. Swets & Zeitlinger, Lisse (1987)

    Google Scholar 

  13. Hommel, B.: Event files: feature binding in and across perception and action. Trends Cogn. Sci. 8(11), 494–500 (2004)

    Article  Google Scholar 

  14. Jankovic, J.: Parkinson’s disease: clinical features and diagnosis. J. Neurol. Neurosur. Psychiatry 79, 368–376 (2008)

    Article  Google Scholar 

  15. McLennan, J.E., Nakano, K., Tyler, H.R., Schwab, R.S.: Micrographia in Parkinson’s disease. J. Neurol. Sci. 15(2), 141–152 (1972)

    Article  Google Scholar 

  16. Parkinson, J.: An Essay on the Shaking Palsy. Whittingham and Rowland for Sherwood, Neely & Jones, London (1817)

    Google Scholar 

  17. Paz-Villagrán, V., Danna, J., Velay, J.L.: Lifts and stops in proficient and dysgraphic handwriting. Hum. Mov. Sci. 33, 381–394 (2014)

    Article  Google Scholar 

  18. Plimmer, B., Reid, P., Blagojevic, R., Crossan, A., Brewster, S.: Signing on the tactile line: a multimodal system for teaching handwriting to blind children. ACM T. Comput.-Hum. Interact. 18(3), Article 17, 1–29 (2011)

    Article  Google Scholar 

  19. Reavley, W.: The Use of biofeedback in the treatment of writer’s cramp. J. Behav. Ther. Exp. Psychiatry 6, 335–338 (1975)

    Article  Google Scholar 

  20. Ronsse, R., Puttemans, V., Coxon, J.P., Goble, D.J., Wagemans, J., Wenderoth, N., Swinnen, S.P.: Motor learning with augmented feedback: modality dependent behavioral and neural consequences. Cereb. Cortex 21, 1283–1294 (2011)

    Article  Google Scholar 

  21. Rosenblum, S., Samuel, M., Zlotnik, S., Erikh, I., Schlesinger, I.: Handwriting as an objective tool for Parkinson’s disease diagnosis. J. Neurol. 260(9), 2357–2361 (2013)

    Article  Google Scholar 

  22. Sigrist, R., Rauter, G., Riener, R., Wolf, P.: Augmented visual, auditory, haptic, and multimodal feedback in motor learning: a review. Psychon. Bull. Rev. 20(1), 21–53 (2013)

    Article  Google Scholar 

  23. Søvik, N., Arntzen, O.: A Comparative study of the writing/spelling performances of “normal”, dyslexic and dysgraphic children. Eur. J. Spec. Needs Educ. 1(2), 85–101 (1986)

    Article  Google Scholar 

  24. Thoret, E., Aramaki, M., Gondre, C., Kronland-Martinet, R., Ystad, S.: Controlling a non linear friction model for evocative sound synthesis applications. In: Proceedings of 16th International Conference on Digital Audio Effects (DAFx), Maynooth, Ireland, pp. 1–7 (2013)

    Google Scholar 

  25. Thoret, E., Aramaki, M., Kronland-Martinet, R., Velay, J.L., Ystad, S.: From sound to shape: auditory perception of drawing movements. J. Exp. Psychol. Hum. Percept. Perform. 40, 983–994 (2014)

    Article  Google Scholar 

  26. Van den Doel, K., Kry, P.G., Pai, D.K.: Foleyautomatic: physically-based sound effects for interactive simulation and animation. In: Proceedings of SIGGRAPH ‘01, pp. 537–544. ACM Press, New York (2001)

    Google Scholar 

  27. Young, W., Rodger, M., Craig, C.M.: Perceiving and reenacting spatiotemporal characteristics of walking sounds. J. Exp. Psychol. Hum. 39(2), 464–476 (2013)

    Article  Google Scholar 

Download references

Acknowledgements

This work, carried out within the Labex BLRI (ANR-11-LABX-0036), has benefited from support from the French government, managed by the French National Agency for Research (ANR), under the project title Investments of the Future A*MIDEX (ANR-11-IDEX-0001-02) and by the ANR project METASON (CONTINT 2010: ANR-10-CORD-0003).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jérémy Danna .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Danna, J. et al. (2014). Movement Sonification for the Diagnosis and the Rehabilitation of Graphomotor Disorders. In: Aramaki, M., Derrien, O., Kronland-Martinet, R., Ystad, S. (eds) Sound, Music, and Motion. CMMR 2013. Lecture Notes in Computer Science(), vol 8905. Springer, Cham. https://doi.org/10.1007/978-3-319-12976-1_16

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-12976-1_16

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-12975-4

  • Online ISBN: 978-3-319-12976-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics