使用电机控制原理来分析人机界面的性能
Shriniwas Patwardhan1, Keri Anne Gladhill2, Wilsaan M Joiner3
1Department of Bioengineering, George Mason University, Fairfax, VA, 22030, USA.
Scientific reports
|August 15, 2023
概括
超声波,使用超声波测量肌肉变形,使得自然主义的四肢运动控制生物机械设备. 这种生物信号技术反映了人类运动动力学,为先进的辅助技术提供了潜力.
科学领域:
- 生物机械学是生物机械学.
- 人与机器接口 人与机器接口
- 康复工程 康复工程
背景情况:
- 生物信号提取的进步使生物机械设备和人机接口的控制成为可能.
- 肌电控制,测量电活动,是常见的,但其产生自然运动的能力是有限的.
- 新兴的生物传感模式为控制提供了新的途径.
研究的目的:
- 为了调查声势学 (SMG) 控制信号是否可以产生自然主义的人类运动.
- 将SMG衍生的运动轨迹与典型的生物四肢动力学进行比较.
- 评估SMG在先进辅助技术方面的潜力.
主要方法:
- 利用超声波成像 (SMG),这是前臂肌肉的持续超声波成像技术.
- 在与生物运动特征的虚拟目标采集任务中比较SMG衍生控制轨迹.
- 分析了SMG控制运动的速度概况和目标时间.
主要成果:
- 来自SMG的轨迹表现出最小的冲动配置,这是生物手臂伸展运动的特征.
- SMG控制的运动的时间过程与自然的点对点四肢运动有相似之处.
- 移动距离影响了SMG轨迹,显示有系统的延迟和缩放的峰值速度.
结论:
- 声谱控制可以复制人类自然四肢运动的动力学特征.
- 这项研究是首次评估SMG和生物流动之间的控制政策相似之处.
- 这些发现支持SMG在辅助技术中开发复杂的控制范式的潜力.
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