Skip to main content

Motor Control of Hand Force for Visual Indicator Without Hand Displacement

  • Conference paper
  • First Online:
Advances in Industrial Design (AHFE 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1202))

Included in the following conference series:

  • 3167 Accesses

Abstract

This study assessed the hand force exerted to a fixed controlled object under three conditions with the dominant and non-dominant hand. The position, velocity, and acceleration of a visual indicator were determined by the exerted hand force and the participants were asked to move the indicator to a target position. Our findings indicated that the non-dominant hand had an advantage when an appropriate magnitude and time interval was required while the dominant hand had an advantage in the pseudo-natural condition. These findings could be applied to the designing of devices and interfaces.

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

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Flash, T., Hogan, N.: The coordination of arm movements: an experimentally confirmed mathematical model. J. Neurosci. 5, 1688–1703 (1985)

    Article  Google Scholar 

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

    Article  Google Scholar 

  3. Richardson, M.J.E., Flash, T.: Comparing smooth arm movements with the two-thirds power law and the related segmented-control hypothesis. J. Neurosci. 22, 8201–8211 (2002)

    Article  Google Scholar 

  4. Wang, J., Sainburg, R.L.: The dominant and nondominant arms are specialized for stabilizing different features of task performance. Exp. Brain Res. 178, 565–570 (2007)

    Article  Google Scholar 

  5. Ben-Itzhak, S., Karniel, A.: Minimum acceleration criterion with constraints implies bang-bang control as an underlying principle for optimal trajectories of arm reaching movements. Neural Comput. 20, 779–812 (2008)

    Article  MathSciNet  Google Scholar 

  6. Tsuji, T., Miki, Y., Ito, K.: Hand force during constrained arm movements and virtual trajectory hypothesis. SICE 28, 366–373 (1992)

    Google Scholar 

  7. Ota, K., Svinin, M.M., Luo, Z., Hosoe, S., Laboissière, R.: Optimal trajectory formation of constrained human arm reaching movements. Biol. Cybern. 91, 23–36 (2004)

    MATH  Google Scholar 

  8. Ota, K., Svinin, M.M., Luo, Z., Hosoe, S.: Optimal trajectory formation of human reaching movement in crank rotation task. IEICE D-II 87, 1707–1717 (2004)

    Google Scholar 

  9. Flanagan, J.R., Rao, A.K.: Trajectory adaptation to a nonlinear visuomotor transformation: evidence of motion planning in visually perceived space. J. Neurophysiol. 74, 2174–2178 (1995)

    Article  Google Scholar 

  10. Fitts, P.M.: The information capacity of the human motor system in controlling the amplitude of movement. J. Exp. Psychol. 47, 381–391 (1954)

    Article  Google Scholar 

  11. Bagesteiro, L.B., Sainburg, R.L.: Nondominant arm advantages in load compensation during rapid elbow joint movements. J. Neurophysiol. 90, 1503–1513 (2003)

    Article  Google Scholar 

  12. Oyama, T., Sako, A.: Difference in bi-articular muscle during postural fixation between dominant and non-dominant arms. In: IIAI-AAI 2015, p. 187 (2015)

    Google Scholar 

  13. Yadav, V., Sainburg, R.L.: Handedness can be explained by a serial hybrid control scheme. Neurosci. 278, 385–396 (2014)

    Article  Google Scholar 

  14. Karniel, A.: The minimum transition hypothesis for intermittent hierarchical motor control. Front. Comput. Neurosci. 7, 12 (2013)

    Article  Google Scholar 

Download references

Acknowledgments

This work was supported by JSPS KAKENHI Grant Number 15K21301.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Takashi Oyama .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Oyama, T., Ito, T. (2020). Motor Control of Hand Force for Visual Indicator Without Hand Displacement. In: Di Bucchianico, G., Shin, C., Shim, S., Fukuda, S., Montagna, G., Carvalho, C. (eds) Advances in Industrial Design. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1202. Springer, Cham. https://doi.org/10.1007/978-3-030-51194-4_117

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-51194-4_117

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-51193-7

  • Online ISBN: 978-3-030-51194-4

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics