首页> 外文会议>ICIT 2010;IEEE International Conference on Industrial Technology >The electric wheelchair controlled by human body motion interface: Classification of human body motion using Self-Organizing Map
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The electric wheelchair controlled by human body motion interface: Classification of human body motion using Self-Organizing Map

机译:由人体运动界面控制的电动轮椅:使用自组织映射对人体运动进行分类

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This research studies the possibility of an intuitive interface for an electric wheelchair by using human body except hands. For this purpose, we focused on the human body motion which has relation to actions or behaviors. This motion comes from the human stabilization function for holding expectable collapsing caused by voluntary motion. Thus this motion is considered as one of the characteristics of human motions, and is linked to the intentions. Therefore, by applying this human body motion to the interface of an electric wheelchair, it is possible to operate the wheelchair without any complex motions or conscious motion. We call this interface as HBMI (Human Body Motion Interface). In this paper, We introduce the prototype by using HBMI, and show a classification of human body motion by using Self-Organizing Map(SOM).
机译:这项研究研究了通过除手以外的人体使用电动轮椅的直观界面的可能性。为此,我们专注于与动作或行为有关的人体运动。此运动来自人类稳定功能,用于保持由自愿运动引起的预期崩溃。因此,该运动被认为是人类运动的特征之一,并且与意图相关。因此,通过将该人体运动施加到电动轮椅的接口,可以在没有任何复杂运动或有意识运动的情况下操作轮椅。我们将此接口称为HBMI(人体运动接口)。在本文中,我们使用HBMI引入了原型,并通过自组织映射(SOM)展示了人体运动的分类。

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