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皮普托:精确的惯性基管道,用于使用三轴加速度计进行基于值的落检测
Stavros N Moutsis1, Konstantinos A Tsintotas1, Antonios Gasteratos1
1Department of Production and Management Engineering, Democritus University of Thrace, 12 Vas. Sophias, GR-671 32 Xanthi, Greece.
Sensors (Basel, Switzerland)
|September 28, 2023
概括
本研究介绍了PIPTO,这是一条使用加速度计数据和基于值的技术的低复杂性落检测管道. 开源系统准确地识别掉落及其时间范围,有助于老年人的安全.
科学领域:
- 生物医学工程 生物医学工程
- 老年学是一门学科.
- 计算机科学 计算机科学
背景情况:
- 跌倒是交通事故之后的第二大死亡原因,不成比例地影响老年人.
- 现有的落检测方法利用各种传感器和技术,包括机器学习和基于启发式的方法.
- 将启发式技术与机器学习模型相结合,可以降低掉落检测系统中的计算成本.
研究的目的:
- 用基于值的技术呈现一种低复杂度的管道,用于降落检测.
- 开发一个能够适应各种加速度传感器和数据频率的系统.
- 为了能够在一个时间序列内检测多个落,并指定它们的时间范围.
主要方法:
- 基于值的技术应用于来自三轴加速度计的数据.
- 该系统处理可变输入长度,并根据总量向量的大小检测掉落.
- 开发的框架,PIPTO,在Python和C语言中实现.
主要成果:
- 在多个数据集上实现了落检测的高性能.
- 在MMsys上,灵敏度达到90.40%,在KFall上达到91.56%.
- 在MMsys上记录了93.96%的特异性,在KFall上记录了85.90%.
结论:
- 拟议的PIPTO管道提供了一个计算高效和准确的解决方案,用于降落检测.
- 该系统的适应性和开源性质有助于研究界采用该系统.
- 皮普托通过提供可靠的摔倒检测能力,为提高老年人的安全性做出了贡献.
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