坚固而适应性的地形分类和步态事件检测系统
Usman Qamar Shaikh1,2, Muhammad Shahzaib2, Sadia Shakil2,3
1Institute of Biomedical Technologies, Auckland University of Technology, Auckland, New Zealand.
Heliyon
|November 29, 2023
概括
本研究介绍了使用惯性传感器用于各种地形的实时步行事件检测系统. 它准确地识别了地形类型和关键步行事件,从而实现了便携式康复应用.
科学领域:
- 生物力学 生物力学
- 可穿戴技术是可穿戴的技术.
- 传感器系统 传感器系统
背景情况:
- 实时步态事件检测 (GED) 对于步态分析和健身跟踪至关重要.
- 当前的GED系统在多样化和不受控制的地形中面临挑战.
- 准确检测跨越各种表面的步态事件仍然是一个开放的研究问题.
研究的目的:
- 开发基于惯性传感器的实时步态事件检测系统.
- 为了在不同的地形上实现强大的GED,包括平坦的地面和楼梯.
- 为便携式应用程序创建一个计算效率高的系统.
主要方法:
- 采用基于惯性传感器的方法来获取数据.
- 开发了用于实时分类三种地形类型的算法:平行走路,上楼梯和下楼梯.
- 在低成本微控制器上实现并验证了系统.
主要成果:
- 实现了99%的平均地形分类准确度.
- 成功检测到关键的步态事件:脚碰撞,脚跟上升,脚脱落和脚跟碰撞.
- 证明了实时性能和计算效率.
结论:
- 拟议的基于惯性传感器的GED系统对不同地形具有高度准确性.
- 该系统的效率和实时能力使其适用于便携式康复设备.
- 这项技术有可能在动态环境中加强步态监测.
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