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优化压力感应算法 压力测量中心的压力感应算法
Alexander Dawid Bincalar1, Chris Freeman1, M C Schraefel1
1School of Electronics and Computer Science, University of Southampton, University Road, Southampton SO17 1BJ, UK.
Sensors (Basel, Switzerland)
|March 17, 2025
概括
新的算法显著提高了用于测量人体平衡的低成本压力敏感 (PSM) 的准确性. 这些进步使得准确的平衡分析更容易用于家庭培训和研究应用.
科学领域:
- 生物力学 生物力学
- 传感器技术 传感器技术
- 人类运动分析 人类运动分析
背景情况:
- 准确的人体平衡测量对于分析和培训至关重要.
- 强力板是准确的,但对于广泛的家庭使用来说太贵了.
- 低成本的压力感应 (PSMs) 提供了一个潜在的替代方案,但却面临着像低分辨率,噪声和交叉声等准确性问题.
研究的目的:
- 开发新的算法,以使用低成本PSM计算压力中心 (CoP),以提高精度.
- 优化PSM设计和算法,以改善可访问系统中的平衡测量.
主要方法:
- 开发了低成本PSM的数学模型,以确定最佳的传感器几何形状 (轨道宽度和放置).
- 实施了利用足迹知识的算法,以进一步完善COP准确性.
- 导出了第三个算法,将人类运动模型纳入其中,以尽量减少测量误差.
主要成果:
- 优化的PSM几何结构将平均绝对COP误差从17.37%降至5.47% (8x8传感器布局).
- 使用足迹知识进行进一步优化,绝对误差降至3.93% (8x8传感器布局).
- 算法证明了低成本PSM的CoP测量准确度的显著改善.
结论:
- 新的算法和优化的PSM设计大大提高了低成本平衡测量系统的准确性.
- 这些进步为更实惠,更可靠的家庭平衡培训和分析铺平了道路.
- 开发的方法解决了现有的低成本PSM的关键局限性,提高了它们的实际效用.
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