Korean Journal of Applied Biomechanics (한국운동역학회지)

Korean Society of Applied Biomechanics (한국운동역학회)
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Correlation Analysis between Dance Experience and Smoothness of Dance Movement by Using Three Jerk-Based Quantitative Methods

  • Park, Yang Sun (Department of Physical Education, College of Performing Arts & Sport, Hanyang University)
  • Received : 2016.01.31
  • Accepted : 2016.03.16
  • Published : 2016.03.31
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Abstract

Objective: The aim of this study is to investigate the association between dance experience and smoothness of hand trajectory during dance by using three jerk-based quantitative methods (integrated squared jerk, mean squared jerk, and dimensionless jerk). Methods: Eleven Korean traditional dancers whose experience of dancing ranged from 5 years to 20 years participated in this study. Dancers performed the Taeguksun motion in Korea traditional dance. Six infrared cameras were used to capture the movement of the hands of the dancers. The smoothness of hand movement was calculated using three jerk-based methods. Results: With regard to the smoothness of the right hand, dance experience was significantly correlated with dimensionless jerk (r=0.656, p=0.028), while dance experience was not significantly correlated with integrated squared jerk (r=0.581, p=0.552) and mean squared jerk. With regard to the smoothness of the left hand, there was no correlation between dance experience and any of the three jerk values. Conclusion: Our results showed that individuals with more dance experience performed the task more smoothly. This study suggests that dimensionless jerk should be used as a predictor for smoothness in dance movement. Thus, our results support the idea that smoothness is an aspect of movement quantity distinct from speed and distance.

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References

  1. Blasing, B., Calvo-Merino, B., Cross, E. S., Jola, C., Honisch, J. & Stevens, C. J. (2012). Neurocognitive control in dance perception and performance. Acta Psychologica, 139(2), 300-308. https://doi.org/10.1016/j.actpsy.2011.12.005
  2. Bronner, S. & Shippen, J. (2015). Biomechanical metrics of aesthetic perception in dance. Experimental brain research, 233(12), 3565-3581. https://doi.org/10.1007/s00221-015-4424-4
  3. Calvo-Merino, B., Urgesi, C., Orgs, G., Aglioti, S. M. & Haggard, P. (2010). Extrastriate body area underlies aesthetic evaluation of body stimuli. Experimental Brain Research, 204(3), 447-456. https://doi.org/10.1007/s00221-010-2283-6
  4. Cross, E. S., Kirsch, L., Ticini, L. & Schütz-Bosbach, S. (2011). The impact of aesthetic appreciation and physical ability on dance perception. Frontiers in Human Neuroscience, 5, 102.
  5. Flash, T. & Hogan, N. (1985). The Coordination Of Arm Movements - An Experimentally Confirmed Mathematical - Model. Journal of Neuroscience, 5(7), 1688-1703. https://doi.org/10.1523/JNEUROSCI.05-07-01688.1985
  6. Goldvasser, D., McGibbon, C. A. & Krebs, D. E. (2001). High curvature and jerk analysis of arm ataxia. Biological Cybernetics, 84, 85-90. https://doi.org/10.1007/s004220000201
  7. Hogan, N. & Sternad, D. (2009). Sensitivity of Smoothness Measures to Movement Duration, Amplitude and Arrests. Journal of Motor Behavior, 41(6), 529-534. https://doi.org/10.3200/35-09-004-RC
  8. Jung, C. S. & Jung, K. I. (2007). The Relationship between Smoothness and Breathing for The "Pal Duleo Gamaoligy" Technique in Korean Traditional Dancing. The Korean Society Of Dance Science, 14, 1-9.
  9. Jung, K. I. & Nam, K, J. (2007). Does the Control of Breathing Help a Dancer to Perform a Smoother Ballet Pour de Bra? Korean Journal of Sport Biomechanics, 17(1), 185-190. https://doi.org/10.5103/KJSB.2007.17.1.185
  10. Ketcham, C. J., Seidler, R. D., Van Gemmert, A. W. & Stelmach, G. E. (2002). Age-related kinematic differences as influenced by task difficulty, target size, and movement amplitude. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 57(1), 54-64. https://doi.org/10.1093/geronb/57.1.P54
  11. Kitazawa, S., Goto, T. & Uruxhihara, Y. (1993). Quantitative evaluation of reaching movements in cats with and without cerebellar lesions using normalized integral of jerk. In N. Mano, I. Hamada, & J. Wartenweiler (Eds.), Role of the cerebellum and basal ganlia in voluntary movement (pp. 11-19). Tokyo: Elservier Science.
  12. Lee, M. H., Ranganathan, R. & Newell, K. M. (2011). Changes in object-oriented arm movements that precede the transition to goal-directed reaching in infancy. Developmental Psychobiology, 53(7), 685-693. https://doi.org/10.1002/dev.20541
  13. Minetti, A. E. (2001). Invariant aspects of human locomotion in different gravitational environments. Acta astronautica, 49(3), 191-198. https://doi.org/10.1016/S0094-5765(01)00098-4
  14. Minvielle-Moncla, J., Audiffren, M., Macar, F. & Vallet, C. (2008). Overproduction timingerrors in expert dancers. Journal of Motor Behavior, 40(4), 291-300. https://doi.org/10.3200/JMBR.40.4.291-300
  15. Park, S. H. & Lee, S. M (2005). Movement control of chip shot in golf: The validation of normalized jerk. The Korean Journal of Physical Education-Natural science, 44(6), 301-311.
  16. Park, Y. S., Kim, M. Y. & Lee, S. R. (2014). The Analysis of Differences in Pulmonary Functions, Jerk Cost, and Ground Reaction Force Depending on Professional and Amateur Dancers in Korea Dance. Korean journal of sport biomechanics, 24(4), 349-357. https://doi.org/10.5103/KJSB.2014.24.4.349
  17. Platz, T., Denzler, P., Kaden, B. & Mauritz, K. H. (1994). Motor Learning after Recovery from Hemiparesis. Neuropsychologia, 32(10), 1209-1223. https://doi.org/10.1016/0028-3932(94)90103-1
  18. Platz, T., Denzler, P., Kaden, B. & Mauritz, K. H. (1994). Motor Learning after Recovery from Hemiparesis. Neuropsychologia, 32(10), 1209-1223. https://doi.org/10.1016/0028-3932(94)90103-1
  19. Rohrer, B. & Hogan, N. (2003). Avoiding spurious submovement decompositions: a globally optimal algorithm. Biological cybernetics, 89(3), 190-199. https://doi.org/10.1007/s00422-003-0428-4
  20. Rohrer, B. & Hogan, N. (2006). Avoiding spurious submovement decompositions II: a scattershot algorithm. Biological cybernetics, 94(5), 409-414. https://doi.org/10.1007/s00422-006-0055-y
  21. Schneider, K. & Zernicke, R. F. (1989). Jerk-cost modulations during the practice of rapid arm movements. Biological Cybernetics, 60, 221-230.
  22. Teulings, H. L., Contreras-Vidal, J. L., Stelmach, G. E. & Adler, C. H. (1997). Parkinsonism Reduces Coordination of Fingers, Wrist, and Arm in Fine Motor Control. Experimental Neurology, 146, 159-170. https://doi.org/10.1006/exnr.1997.6507
  23. Torrents, C., Castañer, M., Jofre, T., Morey, G. & Reverter, F. (2013). Kinematic parameters that influence the aesthetic perception of beauty in contemporary dance. Perception, 42(4), 447-458. https://doi.org/10.1068/p7117
  24. Wininger, M., Kim, N. H. & Craelius, W. (2009). Spatial resolution of spontaneous accelerations in reaching tasks. Journal of Biomechanics, 42, 29-34. https://doi.org/10.1016/j.jbiomech.2008.10.015
  25. Woolhouse, M. H. & Lai, R. (2014). Traces across the body: influence of music-dance synchrony on the observation of dance. Frontiers in human neuroscience, 8.
  26. Yashiro, K., Nakamura, T., Mizumori, T., Yatani, H. & Takada, K. (2004). Clinical Validity of Measuring Jerkcost of Jaw Movement during Speech: Effect of Mouthguard Design on Smoothness of Jaw Movements. Paper presented at the SICE Annual Conference; Sapporo, Hokkaido Institute of Technology, Japan. 4-6.
  27. Zatsiorsky, V. M. (1998). Kinematics of human motion. Champaign, IL: Human Kinetics.