Research on Fall Detection During Elderly Exercise Activities Under the Background of Healthy China Initiative
由于老年人在运动中容易跌倒并经常发生事故,因此发现跌倒非常重要。本文提出了一种检测运动跌倒的方法,基于从三轴加速度计传感器MPU6050模块获取的人体活动 T 的加速度信号和姿态角,保护老年人免受跌倒后的第二次伤害。通过提取加速度信号的特性振幅矢量 SMA 和偏转角 θ.该算法将老年人的运动状态分为三类,循环性体育锻炼和短期日常活动以及运动后休息状态,使用信号幅度矢量滑动平均值 (SVMLS) 来区分快速奔跑和跳跃,并研究程序来检测老年人运动后的跌倒。运动后立即,以避免跌倒后伤亡。这种方法的主要优点是可以检测剧烈跌倒和缓慢跌倒,适用性强。实验表明,该设备的准确报警率为95%,满足跌倒检测精度...
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| Main Authors: | Yongsen Liu, Mufan Zhang, Bin Ji |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nicolaus Copernicus University in Toruń
2025-01-01
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| Series: | Quality in Sport |
| Subjects: | |
| Online Access: | https://apcz.umk.pl/QS/article/view/57818 |
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