Skip to main content

Control of human arm movements in two dimensions: paths and joint control in avoiding simple linear obstacles

Abstract

In order to examine path planning and the control of redundant degrees of freedom in the human arm, the movements of the shoulder, elbow and wrist were recorded as subjects moved a pointer to a target and avoided a simple obstacle. With respect to joint control, the results show that the extra degree of freedom provided by the wrist is incorporated into target movements in a systematic manner for both large and small obstacles; it is not used only when there is no geometrical alternative. For the wrist, two strategies are apparent, depending upon the length of the obstacle. Wrist extension predominates for shorter obstacles, while flexion or extension and flexion predominate for longer obstacles. These wrist movements shorten the effective length of the distal segments (lower arm plus hand and pointer) and thus reduce the excursion required at the proximal joints. In part, they correspond to assuming the most comfortable arm configuration at each point in the new path necessitated by the obstacle and can be described by static cost functions. However, wrist extension is also used to move the hand and pointer away from the obstacle as shoulder and elbow movements carry the wrist itself towards the obstacle. Wrist flexion is also used to move the pointer tip rapidly past the obstacle. These components, which cannot be explained by static cost functions alone, confirm for the human arm the hypothesized use of redundant degrees of freedom in obstacle avoidance. With respect to path planning, the results show that the minimum distance between pointer and obstacle remains fairly constant over a large range of obstacle lengths; this relative invariance is interpreted to support the hypothesis that workspace coordinates are important for movement planning. However, minimum distance and several other path parameters do depend significantly on the orientation and location of the movement in the workspace. This inhomogeneity implies that movement planning does not occur exclusively in workspace coordinates; it suggests an influence of joint space criteria. In frontal movements, for example, the systematic decline in the minimum distance with increasing obstacle length is interpreted as a compromise reducing the amount of extra joint movement and the discomfort of arm configurations.

This is a preview of subscription content, access via your institution.

References

  • Abend W, Bizzi E, Morasso P (1982) Human arm trajectory formation. Brain 105:331–348

    CAS  PubMed  Google Scholar 

  • Beggs WDA, Howarth CI (1972) The movement of the hand towards a target. Q J Exp Psychol 24:448–453

    Google Scholar 

  • Bernstein N (1967) The co-ordination and regulation of movements. Pergamon, Oxford

    Google Scholar 

  • Cruse H (1986) Constraints for joint angle control of the human arm. Biol Cybern 54:125–132

    Google Scholar 

  • Cruse H, Brüwer M (1987) The human arm as a redundant manipulator: the control of path and joint angles. Biol Cybern 57:137–144

    Google Scholar 

  • Cruse H, Wischmeyer E, Brüwer M, Brockfeld P, Dress A (1990) On the cost functions for the control of the human arm movement. Biol Cybern 62:519–528

    Google Scholar 

  • Dean J, Brüwer M (1993) Use of the wrist in short pointing movements. In: Eisner N, Heisenberg M (eds) Gene — brain — behaviour. Proceedings of the 21th Göttingen Neurobiology Conference. Thieme Verlag, Stuttgart, p 201

    Google Scholar 

  • Fitts PM (1954) The information capacity of the human motor system in controlling the amplitude of movement. J Exp Psychol 42:381–391

    Google Scholar 

  • Flash T (1987) The control of hand equilibrium trajectories in multi-joint arm movements. Biol Cybern 57:257–274

    Google Scholar 

  • Flash T (1990) The organization of human arm trajectory control. In: Winters JM, Woo SL-Y (eds) Multiple muscle systems: biomechanics and movement organization. Springer, Berlin Heidelberg New York, pp 282–301

    Google Scholar 

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

    CAS  PubMed  Google Scholar 

  • Georgopoulos AP (1986) On reaching. Annu Rev Neurosci 9:147–170

    Google Scholar 

  • Hamming RW (1977) Digital filters. Prentice-Hall, Englewood Cliffs, NJ

    Google Scholar 

  • Hogan N (1984) An organizing principle for a class of voluntary movements. J Neurosci 4:2745–2754

    Google Scholar 

  • Hogan N (1988) Planning and execution of multijoint movements. Can J Physiol Pharmacol 66:508–517

    Google Scholar 

  • Kirkpatrick S, Gelatt CD, Vecchi MP (1983) Optimization by simulated annealing. Science 220:671–680

    MathSciNet  Google Scholar 

  • Lacquaniti F (1989) Central representations of human limb movement as revealed by studies of drawing and handwriting. Trends Neurosci 12:287–291

    Google Scholar 

  • Morasso P (1981) Spatial control of arm movements. Exp Brain Res 42:223–227

    CAS  PubMed  Google Scholar 

  • Nelson WL (1983) Physical principles for economies of skilled movements. Biol Cybern 46:135–147

    Google Scholar 

  • Soechting JF (1984) Effect of target size on spatial and temporal characteristics of a pointing movement in man. Exp Brain Res 54:121–132

    CAS  PubMed  Google Scholar 

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

    CAS  PubMed  Google Scholar 

  • Viviani P, Terzuolo C (1982) Trajectory determines movement dynamics. Neuroscience 7:431–437

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and Permissions

About this article

Cite this article

Dean, J., Brüwer, M. Control of human arm movements in two dimensions: paths and joint control in avoiding simple linear obstacles. Exp Brain Res 97, 497–514 (1994). https://doi.org/10.1007/BF00241544

Download citation

  • Received:

  • Accepted:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF00241544

Key words