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Free-hand interaction with leap motion controller for stroke rehabilitation

Online:26 April 2014Publication History

ABSTRACT

In recent years, the field of Human-Computer Interaction (HCI) has been advanced with many technologies, however, most are limited to healthy users. In this paper, we leveraged the technology of free-hand interaction to rehabilitate patients with stroke. We modified the game of Fruit Ninja to use Leap Motion controller's hand tracking data for stroke patients with arm and hand weakness to practice their finger individuation. In a pilot study, we recruited 14 patients with chronic stroke to play the game using natural interaction. Their Fruit Ninja (FN) scores show high correlation with the standard clinical assessment scores such as Fugl-Meyer (FMA) and Box-and-Blocks Test (BBT) scores. This finding suggests that our free-hand Fruit Ninja's score is a good indicator of the patient's hand function and therefore will be informative if used in their rehabilitation.

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References

  1. D. Kim, O. Hilliges, S. Izadi, A. D. Butler, J. Chen, I. Oikonomidis, and P. Olivier, "Digits: freehand 3D interactions anywhere using a wrist-worn gloveless sensor," in Proceedings of the 25th annual ACM symposium on User interface software and technology, New York, NY, USA, 2012, pp. 167--176. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. H. Kim, G. Albuquerque, S. Havemann, and D. W. Fellner, "Tangible 3D: hand gesture interaction for immersive 3D modeling," in Proceedings of the 11th Eurographics conference on Virtual Environments, Aire-la-Ville, Switzerland, Switzerland, 2005, pp. 191--199. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. D. Datcu and S. Lukosch, "Free-hands interaction in augmented reality," in Proceedings of the 1st symposium on Spatial user interaction, New York, NY, USA, 2013, pp. 33--40. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. J. Sutton, "Air painting with Corel Painter Freestyle and the leap motion controller: a revolutionary new way to paint!" in ACM SIGGRAPH 2013 Studio Talks, New York, NY, USA, 2013, pp. 21:1--21:1. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. S. Vikram, L. Li, and S. Russell, "Writing and sketching in the air, recognizing and controlling on the fly," in CHI'13 Extended Abstracts on Human Factors in Computing Systems, New York, NY, USA, 2013, pp. 1179--1184. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. S. C. Cramer et al., "Harnessing neuroplasticity for clinical applications," Brain J. Neurol., vol. 134, no. 6, pp. 1591--1609, Jun. 2011. Figure 5. Fingertip position and directions provided by Leap sensor Figure 6. Full hand skeleton made by applying inverse kinematics on hand's anatomical model and Leap's data x (mm)y (mm) z(mm)Google ScholarGoogle ScholarCross RefCross Ref
  7. S. C. Cramer, "An overview of therapies to promote repair of the brain after stroke," Head Neck, vol. 33 Suppl 1, pp. S5--7, Oct. 2011.Google ScholarGoogle ScholarCross RefCross Ref
  8. J. Hallam and V. Whiteley, "Interactive therapy gloves: reconnecting partners after a stroke," in CHI '11 Extended Abstracts on Human Factors in Computing Systems, New York, NY, USA, 2011, pp. 989--994. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. C. Boulanger, A. Boulanger, L. de Greef, A. Kearney, K. Sobel, R. Transue, Z. Sweedyk, P. H. Dietz, and S. Bathiche, "Stroke rehabilitation with a sensing surface," in Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, New York, NY, USA, 2013, pp. 1243--1246. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. G. Salivia and J. P. Hourcade, "PointAssist: assisting individuals with motor impairments," in Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, New York, NY, USA, 2013, pp. 1213--1222. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. S. Trewin, S. Keates, and K. Moffatt, "Individual responses to a method of cursor assistance," Disabil. Rehabil. Assist. Technol., vol. 3, no. 1, pp. 2--21, Jan. 2008.Google ScholarGoogle ScholarCross RefCross Ref
  12. S. P. Eli Carmeli, "HandTutorTM enhanced hand rehabilitation after stroke," Physiother. Res. Int. J. Res. Clin. Phys. Ther., vol. 16, no. 4, pp. 191--200, 2011.Google ScholarGoogle ScholarCross RefCross Ref
  13. N. Friedman, V. Chan, D. Zondervan, M. Bachman, and D. J. Reinkensmeyer, "MusicGlove: motivating and quantifying hand movement rehabilitation by using functional grips to play music," Conf. Proc. Annu. Int. Conf. IEEE Eng. Med. Biol. Soc. IEEE Eng. Med. Biol. Soc. Conf., vol. 2011, pp. 2359--2363, 2011.Google ScholarGoogle ScholarCross RefCross Ref
  14. fruit-ninja, GitHub. {Online}. Available: https://github.com/ChineseDron/fruit-ninja. {Accessed: 02-Aug-2013}.Google ScholarGoogle Scholar
  15. H. M. Hondori, M. Khademi, A. McKenzie, L. Dodakian, C. V. Lopes, and S. C. Cramer, "Abstract T MP43: Utility of Augmented Reality in Relation to Virtual Reality in Stroke Rehabilitation," Stroke, vol. 45, no. Suppl 1, pp. ATMP43--ATMP43, Feb. 2014.Google ScholarGoogle Scholar
  16. Fruit Ninja. {Online}. Available: http://fruitninja.com/. {Accessed: 16-Jul-2013}.Google ScholarGoogle Scholar
  17. A. R. Fugl-Meyer, L. Jääskö, I. Leyman, S. Olsson, and S. Steglind, "The post-stroke hemiplegic patient. 1. A method for evaluation of physical performance," Scand. J. Rehabil. Med., vol. 7, no. 1, pp. 13--31, 1975.Google ScholarGoogle Scholar
  18. V. Mathiowetz, G. Volland, N. Kashman, and K. Weber, "Adult norms for the Box and Block Test of manual dexterity," Am. J. Occup. Ther. Off. Publ. Am. Occup. Ther. Assoc., vol. 39, no. 6, pp. 386--391, Jun. 1985.Google ScholarGoogle ScholarCross RefCross Ref
  19. J. Lee and T. L. Kunii, "Model-based analysis of hand posture," IEEE Comput. Graph. Appl., vol. 15, no. 5, pp. 77--86, 1995. Google ScholarGoogle ScholarDigital LibraryDigital Library

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        • Published in

          ACM Conferences cover image
          CHI EA '14: CHI '14 Extended Abstracts on Human Factors in Computing Systems
          April 2014
          2620 pages
          ISBN:9781450324748
          DOI:10.1145/2559206

          Copyright © 2014 Owner/Author

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          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Online: 26 April 2014
          • Published: 26 April 2014

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          CHI EA '14 Paper Acceptance Rate 1,000 of 3,200 submissions, 31%
          Overall Acceptance Rate 5,903 of 22,684 submissions, 26%

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