Automated Derivation of Primitives for Movement Classification

  title={Automated Derivation of Primitives for Movement Classification},
  author={Ajo Fod and Maja J. Mataric and Odest Chadwicke Jenkins},
  journal={Auton. Robots},
We present a new method for representing human movement compactly, in terms of a linear superimposition of simpler movements termed primitives. This method is a part of a larger research project aimed at modeling motor control and imitation using the notion of perceptuo-motor primitives, a basis set of coupled perceptual and motor routines. In our model, the perceptual system is biased by the set of motor behaviors the agent can execute, so it automatically classifies observed movements into… CONTINUE READING
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Publications referenced by this paper.
Showing 1-10 of 41 references

Sensory-motor primitives as a basis for imitation: Linking perception to action and biology to robotics

M. J. Matarić
In C. Nehaniv & K. Dautenhahn, editor, Imitation in Animals and Artifacts. The MIT Press, • 2000
View 6 Excerpts
Highly Influenced

Cortical mechanisms of human imitation.

Science • 1999
View 2 Excerpts
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HRP : Humanoid robotics project of miti

H. Inoue, S. Tachi, +11 authors M. Sudo
Proc . of First IEEERAS International Conference on Humanoid Robots • 2000

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