A theory for cursive handwriting based on the minimization principle |
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Authors: | Yasuhiro Wada Mitsuo Kawato |
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Institution: | (1) ATR Human Information Processing Research Laboratories, 2-2 Hikaridai, Seika-cho, Soraku-gun, Kyoto 619-02, Japan, JP |
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Abstract: | We propose a trajectory planning and control theory which provides explanations at the computation, algorithm, representation,
and hardware levels for continuous movement such as connected cursive handwriting. The hardware is based on our previously
proposed forward-inverse-relaxation neural network. Computationally, the optimization principle is the minimum torque-change
criterion. At the representation level, hard constraints satisfied by a trajectory are represented as a set of via-points
extracted from handwritten characters. Accordingly, we propose a via-point estimation algorithm that estimates via-points
by repeating trajectory formation of a character and via-point extraction from the character. It is shown experimentally that
for movements with a single via-point target, the via-point estimation algorithm can assign a point near the actual via-point
target. Good quantitative agreement is found between human movement data and the trajectories generated by the proposed model.
Received: 23 June 1994 / Accepted in revised form: 3 February 1995 |
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Keywords: | |
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