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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Nicolaus Copernicus University in Toruń
2025-01-01
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| Series: | Quality in Sport |
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| Online Access: | https://apcz.umk.pl/QS/article/view/57818 |
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| author | Yongsen Liu Mufan Zhang Bin Ji |
| author_facet | Yongsen Liu Mufan Zhang Bin Ji |
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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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| format | Article |
| id | doaj-art-b1321b7cb79a485dba77c5d73c656783 |
| institution | Kabale University |
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| spelling | doaj-art-b1321b7cb79a485dba77c5d73c6567832025-01-31T08:23:34ZengNicolaus Copernicus University in ToruńQuality in Sport2450-31182025-01-013710.12775/QS.2025.37.57818Research on Fall Detection During Elderly Exercise Activities Under the Background of Healthy China InitiativeYongsen Liuhttps://orcid.org/0009-0009-7661-183XMufan Zhang0https://orcid.org/0009-0008-2875-3959Bin Jihttps://orcid.org/0009-0008-0243-329518535124431 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。 https://apcz.umk.pl/QS/article/view/57818tri-axial accelerometerfall detection for the elderlySignal Magnitude Vector SMAattitude angle |
| spellingShingle | Yongsen Liu Mufan Zhang Bin Ji Research on Fall Detection During Elderly Exercise Activities Under the Background of Healthy China Initiative Quality in Sport tri-axial accelerometer fall detection for the elderly Signal Magnitude Vector SMA attitude angle |
| title | Research on Fall Detection During Elderly Exercise Activities Under the Background of Healthy China Initiative |
| title_full | Research on Fall Detection During Elderly Exercise Activities Under the Background of Healthy China Initiative |
| title_fullStr | Research on Fall Detection During Elderly Exercise Activities Under the Background of Healthy China Initiative |
| title_full_unstemmed | Research on Fall Detection During Elderly Exercise Activities Under the Background of Healthy China Initiative |
| title_short | Research on Fall Detection During Elderly Exercise Activities Under the Background of Healthy China Initiative |
| title_sort | research on fall detection during elderly exercise activities under the background of healthy china initiative |
| topic | tri-axial accelerometer fall detection for the elderly Signal Magnitude Vector SMA attitude angle |
| url | https://apcz.umk.pl/QS/article/view/57818 |
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