The electric wheelchair control system using surface-electromygram of facial muscles
The electric wheelchair control system using surface-electromygram of facial muscles
复制标题
利用面部肌肉表面肌电图的电动轮椅控制系统
DOI：
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复制
发表时间：
2010
期刊：
影响因子：
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通讯作者：
Y. Fuse
中科院分区：
文献类型：
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作者：
H. Tamura;T. Manabe;K. Tanno;Y. Fuse
人机界面（或称为人机界面）研究的目标是为人类提供一种新的通信渠道，使人类的意志状态能够通过计算机转化为应用程序的特定动作。本文提出了一种基于生物信号作为表面肌电信号的电动轮椅的免提控制系统。生物电信号从面部肌肉中提取，然后生物信号通过放大器和高通滤波器。运动控制命令（前进、向左、向右、向右、向左和停止）按照简单的规则进行分类。这些指令用于控制电动轮椅。
The goal of Human-Computer Interface (or called Human-Robot interface) research is to provide humans with a new communication channel that allows translating Human's will states via a computer into application specific actions. This paper presents a novel hands-free control system for controlling the electric wheelchair, which is based on Bio-signals as surface electromyogram signals. The Bioelectric signals are picked up from facial muscles then the Bio-signals are passed through an amplifier and a high pass filter. Motion control commands (Forward, Left, Right, Forward to the Right, Forward to the left and Stop) are classified by simple rule. These commands are used for controlling the electric wheelchair.