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Human postural stability model and artificial neural network for prediction the center of pressure

机译:人体姿势稳定性模型和人工神经网络预测压力中心

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Human postural stability is the necessary function for human livings. This function controls the whole body into the upright position. To understand the behavior of human balance control can be achieved by many methods. The mathematical model is a general technique for explanation the mechanism of biomechanics. The human postural stability system has been designed into the mathematical model. The model at sagittal and coronal plane utilized to describe the motion. This study focused on the model at coronal plane. There were two methods which performed. The first method was to use the mathematical formula for determination the COP. Second, there was the human postural stability model and artificial neural network to predict the COP. The result indicated that both methods could determine the COP, but the neural network has less error than the other method. However, there was some limitation to define the suitable parameter of neural network for getting better output.
机译:人体姿势的稳定性是人类赖以生存的必要功能。此功能将整个身体控制在直立位置。要了解人类平衡控制的行为,可以通过许多方法来实现。数学模型是解释生物力学机制的通用技术。人体姿势稳定系统已被设计成数学模型。矢状面和冠状面的模型用来描述运动。这项研究集中在冠状面的模型上。有两种执行方法。第一种方法是使用数学公式确定COP。其次,存在人体姿势稳定性模型和人工神经网络来预测COP。结果表明,两种方法均可确定COP,但神经网络的误差要小于另一种方法。但是,定义神经网络的合适参数以获得更好的输出存在一些限制。

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