EMG Based Control of a Quadcopter
EMG Based Control of a Quadcopter
复制标题
基于 EMG 的四轴飞行器控制
DOI：
10.1109/mecnit48290.2020.9166603
复制
发表时间：
2020
期刊：
影响因子：
--
通讯作者：
Noman Naseer
中科院分区：
文献类型：
--
作者：
Maham Ali;Areeba Riaz;Waleef Ullah Usmani;Noman Naseer
在本文中，我们提出了一项利用从受试者肌肉采集的肌电(EMG)信号来控制四轴飞行器的工作。一个简单而有效的界面被操纵，即使是业余用户也可以控制四轴飞行器。使用MyoArm频段的八个电极采集肌电信号，同时受试者执行四个不同的手势，以四个不同的方向控制四轴飞行器。此外，这些信号被过滤掉噪声--然后无噪声信号被用来获取可用于分类不同手势的特征。在获取合适的特征后，使用线性判别分析对四轴飞行器进行分类并生成控制命令来控制四轴飞行器。结果表明，利用肌电信号对四轴飞行器进行有效控制是可行的，且训练次数少。
In this paper, we present a work on control of quadcopter using electromyography (EMG) signals acquired from subject’s muscles. A simple yet effective interface is maneuvered that can permit even amateur users to control a quadcopter. EMG signals were acquired using eight electrodes of MyoArm band while the subjects performed four different hand gestures to control the quadcopter in four different directions. Moreover, those signals were filtered to remove noises—the noise-free signal was then used to acquire features that could be used for classification of different hand gestures. After acquiring suitable features, linear discriminant analysis was used to classify and generate control commands to control the quadcopter. Results demonstrate the feasibility in using EMG to control a quadcopter effectively with little training.