A computational trajectory formation model for the human sagittal plane movement at various motion durations

Yasuhiro Wada, Takeyuki Aiba, Kazuyoshi Fukuzawa

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

We have confirmed from human arm movement measurement on the sagittal plane that the highest position in the vertical direction where the hand passes through changes according to the motion duration. In this paper, we propose an estimation algorithm of the position where the hand passes through according to the variation in the motion duration. We add the algorithm into the hardware of the trajectory formation model, i.e., the forward inverse relaxation model, which is the trajectory formation model based on the minimum commanded torque change criterion. Finally, we show that the model can reproduce the same trajectories as the human trajectories at various motion durations on the sagittal plane.

Original languageEnglish
Pages (from-to)1589-1594
Number of pages6
JournalNeurocomputing
Volume38-40
DOIs
Publication statusPublished - 2001 Jun

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Keywords

  • Duration
  • Sagittal plane
  • Trajectory formation

ASJC Scopus subject areas

  • Artificial Intelligence
  • Cellular and Molecular Neuroscience

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