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Analysis of Variability of Human Reaching Movements Based on the Similarity Preservation of Arm Trajectories

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Neural Information Processing (ICONIP 2007)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4984))

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Abstract

Human movements exhibit some variability. Based on the assumption that the main factor of movement variability is noise adding to motion commands in motion execution, it can be considered that a planned trajectory is the same during the same task. However, the human might not be able to plan the same trajectory during the same task because of some factors (e.g., the uncertainty of target location perception). We analyzed the similarity preservation of trajectories in reaching movements. The similarity preservation of trajectories cannot be reproduced by random noise in motion execution. We argue that the movement variability breaks out in motion planning.

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References

  1. Harris, C.M., Wolpert, D.M.: Signal-dependent noise determines motor planning. NATURE 394, 780–784 (1998)

    Article  Google Scholar 

  2. van Beers, R.J., Haggard, P., Wolpert, D.M.: The role of execution noise in movement variability. J. Neurophysiol. 91, 1050–1063 (2004)

    Article  Google Scholar 

  3. Uno, Y., Kawato, M., Suzuki, R.: Formation and control of optimal trajectory in human multijoint arm movement. Biol. Cybern 61, 89–101 (1989)

    Article  Google Scholar 

  4. Nakano, E., Imamizu, H., Osu, R., Uno, Y., Gomi, H., Yoshioka, T., Kawato, M.: Quantitative examinations of internal representations for arm trajectory planning: minimum commanded torque change model. J. Neurophysiol. 81, 2140–2155 (1999)

    Google Scholar 

  5. Kitagawa, T., Fukuda, H., Fukumura, N., Uno, Y.: Investigation of error in human perception of hand position during arm movement (in Japanese). IEICE J89-D, 1429–1439 (2006)

    Google Scholar 

  6. Sakamoto, T., Fukumura, N., Uno, Y.: Variability in human reaching movements depends on perception of targets (in Japanese). Technical Report of IEICE NC2002-175, 19–24 (2003)

    Google Scholar 

  7. van der Helm, F.C.T., Rozendaal, L.A.: Musculoskeletal systems with intrinsic and proprioceptive feedback. In: Winters, J.M., Crag, P.E. (eds.) Biomechanics and Neural Control of Posture and Movement, pp. 164–174 (2000)

    Google Scholar 

  8. Hollerbach, J.M., Flash, T.: Dynamic interaction between limb segments during planar arm movement. Biol. Cybern 44, 67–77 (1982)

    Article  Google Scholar 

  9. Schmidt, R.A., Zelaznik, H., Hawkins, B., Frank, J.S., Quinn Jr., J.T.: Motor-output variability: a theory for the accuracy of rapid motor acts. Psychological Review 86, 415–451 (1979)

    Article  Google Scholar 

  10. Oyama, T., Uno, Y.: Variability of human arm reaching movements occurs in motion planning (in Japanese). In: BPES20th, pp. 149–152 (2005)

    Google Scholar 

  11. Oyama, T., Uno, Y.: Estimation of a human planned trajectory from a measured trajectory (in Japanese). IEICE J88-DII, 800–809 (2005)

    Google Scholar 

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Masumi Ishikawa Kenji Doya Hiroyuki Miyamoto Takeshi Yamakawa

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© 2008 Springer-Verlag Berlin Heidelberg

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Oyama, T., Uno, Y., Hosoe, S. (2008). Analysis of Variability of Human Reaching Movements Based on the Similarity Preservation of Arm Trajectories. In: Ishikawa, M., Doya, K., Miyamoto, H., Yamakawa, T. (eds) Neural Information Processing. ICONIP 2007. Lecture Notes in Computer Science, vol 4984. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69158-7_95

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  • DOI: https://doi.org/10.1007/978-3-540-69158-7_95

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-69154-9

  • Online ISBN: 978-3-540-69158-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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