The creation of unique control methods for a hand prosthesis is still a problem that has to be addressed. The best choice of a human-machine interface (HMI) that should be used to enable natural control is still a challenge. Surface electromyography (sEMG), the most popular option, has a variety of difficult-to-fix issues (electrode displacement, sweat, fatigue). The ultrasound imaging-based methodology offers a means of recognising complex muscle activity and configuration with a greater SNR and less hardware requirements as compared to sEMG. In this study, a prototype system for high frame rate ultrasound imaging for prosthetic arm control is proposed. Using the proposed framework, a virtual robotic hand simulation is developed that can mimick a human hand as illustrated in the link. The proposed classification model simulating four hand gestures has a classification accuracy of more than 90%.
翻译:为手造假肢创建独特的控制方法仍然是一个需要解决的问题。 最佳选择用于自然控制的人机接口(HMI)仍然是个挑战。 最受欢迎的选择是表面电磁学(SEMG),它有各种各样的难以修补的问题( 电离、 汗、 疲劳 ) 。 超声波成像法为识别复杂的肌肉活动和配置提供了一种手段,与SEMG相比,它具有更大的SNR和较少的硬件要求。 本研究中,提出了用于修复手臂控制的高框架速超声波成像原型系统。 利用拟议的框架,开发了虚拟机器人手模拟,可以模拟链接中显示的人类手部。 拟议的分类模型模拟四个手势的分类精度超过90%。