Quantization of human motions and learning of accurate movements.

Abstract:

:This paper presents a mathematical model for the learning of accurate human arm movements. Its main features are that the movement is the superposition of smooth submovements, the intrinsic deviation of arm movements is considered, visual and kinesthetic feed-back are integrated in the motion control, and the movement duration and accuracy are optimized with practice. This model is consistent with the jerky arm movements of infants, and may explain how the adult motion behavior emerges from the infant behavior. Comparison with measurements of adult movements shows that the kinematics of accurate movements are well predicted by the model.

journal_name

Biol Cybern

journal_title

Biological cybernetics

authors

Burdet E,Milner TE

doi

10.1007/s004220050435

subject

Has Abstract

pub_date

1998-04-01 00:00:00

pages

307-18

issue

4

eissn

0340-1200

issn

1432-0770

journal_volume

78

pub_type

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