首页> 外国专利> METHOD FOR DERIVING GROUND REACTION FORCE PREDICTING MODEL AND GROUND REACTION FORCE PREDICTING APPARATUS USING THE SAME

METHOD FOR DERIVING GROUND REACTION FORCE PREDICTING MODEL AND GROUND REACTION FORCE PREDICTING APPARATUS USING THE SAME

机译:推导地面反应力预测模型的方法和使用相同方法的地面反应力预测装置

摘要

The present invention discloses a method to derive a ground reaction force prediction model and a device to predict ground reaction force by using the same, capable of predicting ground reaction force. According to the present invention, a method to predict ground reaction force is a method to derive a ground reaction force prediction model, capable of predicting ground reaction force for an one-leg support section or both-legs support section of users walk when movement information by the users walk is inputted. The method includes an information collecting step of mass information of the user, the movement information by the users walk, and ground reaction force information; and a model deriving step of deriving the ground reaction force prediction model by using artificial neural network algorithm having the mass information and the movement information as an input variable and having the ground reaction force information as an output variable. Thus, the ground reaction force prediction model to predict the ground reaction force only with the movement information by the users walk is derived.
机译:本发明公开了一种推导地面反作用力预测模型的方法和一种利用该模型来预测地面反作用力的装置,其能够预测地面反作用力。根据本发明,预测地面反作用力的方法是推导地面反作用力预测模型的方法,该模型能够预测用户在运动信息时步行的单腿支撑部分或双腿支撑部分行走的地面反作用力。由用户步行输入。该方法包括用户质量信息,用户行走的运动信息和地面反作用力信息的信息收集步骤;一种模型推导步骤,其通过使用人工神经网络算法推导地面反作用力预测模型,该人工神经网络算法将质量信息和运动信息作为输入变量,并将地面反作用力信息作为输出变量。因此,推导出仅利用用户步行的移动信息来预测地面反作用力的地面反作用力预测模型。

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