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- W2945381634 abstract "Abstract The handwriting process is one of the most important and complex activities of the human body. In recent years, modelling and analyzing and controlling it have received great attention leading to large important motion studies results. This paper attempts to present an overview of recent works about our proposed approaches and other ones to model and control this process. Hence, an overall model of the handwriting process has been proposed and developed by the co‐authors, showing the interest of using the soft computing concepts, namely neural networks and fuzzy logic. The design of this model requires several undertaken steps. Starting from an experimental approach to acquire electromyographic signals and writing positions, different conventional and non conventional models have been proposed. Besides some control strategies have been considered in particular neural and fuzzy approaches in addition to non conventional neural and neuro‐fuzzy Internal Model Control strategy. The proposed global model, inspired from the biological structure system, has been designed and validated through simulation results." @default.
- W2945381634 created "2019-05-29" @default.
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- W2945381634 date "2019-05-20" @default.
- W2945381634 modified "2023-10-17" @default.
- W2945381634 title "Conventional and non conventional body motions modelling and control. Application to the handwriting process" @default.
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- W2945381634 doi "https://doi.org/10.1002/asjc.2127" @default.
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