Segmentation and coupling in complex movements.

Viviani, Paolo, Cenzato, Marco·1985·Journal of Experimental Psychology: Human Perception and Performance

Abstract

In two experiments we explore the structure of complex sequences of drawing movements. We find that in these movements a single parameter--the velocity gain factor--relates the geometrical and kinematic aspects of the movement trajectory via a two-thirds power law. In Experiment 1 we investigate the relation between the velocity gain factor and the linear extent of the trajectory. In Experiment 2 we demonstrate that the gain factor provides a criterion for segmenting the movement into distinct units of motor action, and we investigate the effects of the speed of execution on this segmentation. A theoretical analysis shows that the results of both Experiments 1 and 2 can be given a unitary interpretation by assuming a coupling function of variable strength between segments. The general problem of representing motor programs is discussed within this theoretical framework.

Cites (3)

  1. A Simplex Method for Function Minimization
    Nelder, J. A., Mead, R. · 1965 · The Computer Journal
  2. The discovery of processing stages: Extensions of Donders' method
    Sternberg, Saul · 1969 · Acta Psychologica
  3. On the time relations of mental processes: An examination of systems of processes in cascade.
    McClelland, James L. · 1979 · Psychological Review

Show all 3 references

Cited by (6)

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  2. Biological movements look uniform: Evidence of motor-perceptual interactions.
    Viviani, Paolo, Stucchi, Natale · 1992 · Journal of Experimental Psychology: Human Perception and Performance
  3. Cognitive spatial-motor processes: 3. Motor cortical prediction of movement direction during an instructed delay period
    Georgopoulos, A.P., Crutcher, M.D., Schwartz, A.B. · 1989 · Experimental Brain Research
  4. Dynamics systems vs. optimal control — a unifying view
    Schaal, Stefan, Mohajerian, Peyman, Ijspeert, Auke · 2007 · Progress in Brain Research
  5. Smoothness Maximization Along a Predefined Path Accurately Predicts the Speed Profiles of Complex Arm Movements
    Todorov, Emanuel, Jordan, Michael I. · 1998 · Journal of Neurophysiology

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This page
CoChat. (2026). Citation check: Segmentation and coupling in complex movements. https://app.cochat.ai/papers/10.1037//0096-1523.11.6.828
The paper
Viviani, P., & Cenzato, M. (1985). Segmentation and coupling in complex movements. Journal of Experimental Psychology: Human Perception and Performance. https://doi.org/10.1037//0096-1523.11.6.828

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