The electric wheelchair controlled by human body motion interface: Classification of human body motion using Self-Organizing Map

S. Yokota, H. Hashimoto, Y. Ohyama, Jinhua She, D. Chugo, Hisato Kobayashi
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引用次数: 1

Abstract

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).
人体运动界面控制的电动轮椅:基于自组织图的人体运动分类
本研究研究了除手外,利用人体实现电动轮椅直观界面的可能性。为此,我们将重点放在与行动或行为有关的人体运动上。这种运动来源于人体的稳定功能,用于控制由自主运动引起的预期崩溃。因此,这种运动被认为是人类运动的特征之一,并与意图联系在一起。因此,通过将这种人体运动应用到电动轮椅的界面上,可以实现无需任何复杂动作或有意识动作的轮椅操作。我们称这种接口为HBMI (Human Body Motion interface)。本文介绍了基于HBMI的人体运动分类模型,并利用自组织映射(SOM)对人体运动进行了分类。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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