A Study of the Electric Wheelchair Hands-Free Safety Control System Using the Surface-Electromygram of Facial Muscles
A Study of the Electric Wheelchair Hands-Free Safety Control System Using the 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免提安全控制系统的研究
DOI：
10.1007/978-3-642-16587-0_10
复制
发表时间：
2010
期刊：
影响因子：
--
通讯作者：
K. Tanno
中科院分区：
文献类型：
--
作者：
H. Tamura;T. Manabe;T. Goto;Yuki Yamashita;K. Tanno
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沟通渠道，允许通过计算机将人们的意图状态转化为执行特定的动作。本文提出了一种新型的电动轮椅免提控制系统，该系统基于生物信号作为表面肌电信号。从面部肌肉拾取生物电信号，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、向右前进、向左前进和停止）按照简单的规则进行分类。这些命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 people’s intention states via a computer into performing 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.