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Preventing dyspraxia: a project for the creation of a computational diagnostic system based on the theory of embodied cognition

机译:预防功能障碍:基于嵌入式认知理论的计算机诊断系统的创建项目

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Dyspraxia is a disorder of internal representation and programming of voluntary movement that can compromise the development of higher cognitive functions and personality. It is therefore important to have diagnostic tools that allow us to diagnose early motor dysfunctions that are the basis of the disorder in order to be able to quickly intervene avoiding the stabilization of deficient processes. In this paper we intend to propose a computational diagnostic model based on the theory of embodied cognition. The main cognitive function integrated by multimodal neuronal clusters is the integration of space and time, which occurs through precise articulations of the experience of being in the world. The work presents the development in three phases of a computational diagnostic system. The development of the method starts from the identification of motor sequences aimed at detecting the deficits of the praxic functions; in a subsequent phase it evolves into the creation of a neural network aimed at recognizing these diagnostic motor sequences; finally it ends with the production of prototypes of movement that can be used by the system as a standard for the identification of deficits of voluntary movement in children. The future perspective is that of a systematic use of this computational diagnostic system in the classes of the kindergarten.
机译:运动障碍是一种内部表现失调和自愿运动的程序设计,会损害较高的认知功能和人格的发展。因此,重要的是要有诊断工具,使我们能够诊断作为障碍基础的早期运动功能障碍,以便能够迅速进行干预,从而避免缺陷过程的稳定。在本文中,我们打算基于内含认知理论提出一种计算诊断模型。多模态神经元簇整合的主要认知功能是空间和时间的整合,这是通过对世界经验的精确表达而实现的。这项工作介绍了计算诊断系统的三个阶段的发展。该方法的发展始于对运动序列的识别,其目的是检测运动功能的缺陷。在随后的阶段中,它演变成旨在识别这些诊断性运动序列的神经网络的创建;最后,它以运动原型的生产为结尾,系统可以将其用作识别儿童自愿运动缺陷的标准。未来的前景是该计算诊断系统在幼儿园班级中的系统使用。

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