基于FMCW雷达的移动状态下降方向检测
Lei Ma1, Xingguang Li1, Guoxiang Liu1
1School of Electronic Information Engineering, Changchun University of Science and Technology, Changchun 130022, China.
Sensors (Basel, Switzerland)
|June 10, 2023
概括
这项研究引入了一种使用频率调制连续波 (FMCW) 雷达检测下降方向的新方法. 该系统达到96.27%的准确性,有助于更快的医疗救援和减少伤害.
科学领域:
- 医疗技术 医疗技术 医学技术
- 信号处理 信号处理
- 人工智能的人工智能
背景情况:
- 跌倒检测对于及时的医疗干预和尽量减少二次伤害至关重要.
- 现有的方法可能缺乏可移植性或损害用户隐私.
- 准确的落地方向识别可以提高救援计划和效率.
研究的目的:
- 开发一种使用FMCW雷达检测落方向的便携式和保护隐私的方法.
- 使用范围时间 (RT) 和多普勒时间 (DT) 功能分析运动和下降状态.
- 通过消除噪音和异常值来提高下降方向检测的可靠性.
主要方法:
- 利用FMCW雷达捕捉运动和跌落事件期间的范围时间 (RT) 和多普勒时间 (DT) 功能.
- 开发了一个双分支卷积神经网络 (CNN) 来分析提取的特征和分类掉落方向.
- 实现了一个模式特征提取 (PFE) 算法,以消除RT和DT图,提高模型可靠性.
主要成果:
- 拟议的方法实现了对不同下降方向的96.27%的高识别精度.
- 该系统有效地区分了基于雷达信号的各种运动和下降状态.
- 该PFE算法成功地减轻了噪声和异常值,提高了检测模型的稳定性.
结论:
- 新的FMCW基于雷达的方法提供了准确可靠的降落方向检测.
- 这项技术可以大大帮助医务人员制定及时的救援计划.
- 该系统的可移植性和保护隐私的性质使其适合广泛应用.
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