超声波
可穿戴计算机
手势
接口(物质)
计算机科学
假手
传感器
信号(编程语言)
控制系统
人工智能
计算机硬件
生物医学工程
嵌入式系统
医学
工程类
放射科
电气工程
最大气泡压力法
气泡
并行计算
程序设计语言
作者
Zongtian Yin,Hanwei Chen,Xingchen Yang,Yifan Liu,Ning Zhang,Jianjun Meng,Honghai Liu
标识
DOI:10.1109/jbhi.2022.3203084
摘要
Ultrasound can non-invasively detect muscle deformations and has great potential applications in prosthetic hand control. Traditional ultrasound equipment was usually too bulky to be applied in wearable scenarios. This research presented a compact ultrasound device that could be integrated into a prosthetic hand socket. The miniaturized ultrasound system included four A-mode ultrasound transducers for sensing musculature deformations, a signal excitation/acquisition module, and a prosthetic hand control module. The size of the ultrasound system was 65*75*25 mm, weighing only 85 g. For the first time, we integrated the ultrasound system into a prosthetic hand socket to evaluate its performance in practical prosthetic hand control. We designed an experiment requiring twenty subjects to perform six commonly used gestures. The performance of decoding ultrasound signals was analyzed offline using four classification algorithms and then was assessed in online control. The average values of online classification accuracy with and without wearing the physical prosthetic were 91.5 [Formula: see text] and 96.5 [Formula: see text], respectively. We found that wearing the prosthetic hand influenced the ultrasound gestures classification accuracy, but remarkable online classification performance could still be maintained. These experimental results demonstrated the efficacy of the designed integrated ultrasound system for practical use, paving the way for an effective HMI system that could be widely used in prosthetic hand control.
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