一个上肢外骨运动生成算法基于分离肩膀和手臂运动
概括
这项研究引入了一种用于康复外骨架的新算法,该算法通过将逆动力学 (IK) 与自然的肩带运动相结合,产生类似人类的手臂运动,从而改善患者对日常生活活动的康复.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 生物力学 生物力学
- 康复工程 康复工程
背景情况:
- 康复外骨对于中风恢复至关重要,需要类似人类的运动才能有效地帮助日常生活活动 (ADL).
- 当前的运动生成算法往往忽略了肩带动力学,并仅依赖逆动力学 (IK) 进行最终配置,限制了自然运动.
研究的目的:
- 开发一个集成的算法,以产生类似于人类的手臂和肩带运动,用于康复外骨架.
- 为了提高外骨架辅助ADL性能的自然性和人体工程学.
主要方法:
- 开发了一种算法,该算法集成逆动力学 (IK) 与钟形速度轮,用于手臂运动,独立于最终配置.
- 该算法确保肩带的自然,被动运动与手臂轨迹生成并发.
- 生成的运动被映射到外骨的配置空间.
主要成果:
- 生成的运动显示出类似人类的特征,与动作捕捉数据进行验证.
- 任务空间中手腕轨迹的根平均平方误差 (RMSE) 在0.2以内,高概率密度区间 (HPDI) 在0.17以内.
- 关节空间RMSE值在15度以内,证实了运动真实性.
结论:
- 拟议的算法通过考虑手臂和肩带动力学,成功地产生了类似人类的运动,用于康复外骨.
- 这种方法通过提高ADL期间的人机交互的质量,提高了更有效和人体工程学康复的潜力.
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