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Design and Realization of an Early Pre-impact Fall Alarm System Based on MEMS Inertial Sensing Units

机译:基于MEMS惯性传感单元的早期预冲击秋季报警系统的设计与实现

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Falls are the second leading cause of unintentional injury deaths worldwide, so how to prevent falls has become a safety and security problem for elderly people. At present, because the sensing modules of most fall alarm devices generally only integrate the single 3-axis accelerometer, so the measured accuracy of sensing signals is limited. It results in that these devices can only achieve the alarm of post-fall detection but not the early pre-impact fall recognition in real fall applications. Therefore, this paper aimed to develop an early pre-impact fall alarm system based on high-precision inertial sensing units. A multi-modality sensing module embedded fall detection algorithm was developed for early pre-impact fall detection. The module included a 3-axis accelerometer, a 3-axis gyroscope and a 3-axis magnetometer, which could arouse the information of early pre-impact fall warning by a buzzer and a vibrator. Total 81 times fall experiments from 9 healthy subjects were conducted in simulated fall conditions. By combination of the early warning threshold algorithm, the result shows that the detection sensitivity can achieve 98.61% with a specificity of 98.61%, and the average pre-impact lead time is 300ms. In the future, GPS, GSM electronic modules and wearable protected airbag will be embedded in the system, which will enhance the real-time fall protection and timely immediate aid immensely for the elderly people.
机译:瀑布是全球无意伤害死亡的第二个主要原因,因此如何防止跌倒已成为老年人的安全和安全问题。目前,因为大多数秋季报警装置的传感模块通常仅集成单个3轴加速度计,所以测量信号的测量精度受到限制。它导致这些设备只能实现出现后检测的报警,而不是真实秋季应用中的早期预冲击差异识别。因此,本文旨在开发基于高精度惯性传感单元的早期预冲击性报警系统。开发了一种多模态传感模块嵌入式落区检测算法,用于早期预冲击落后检测。该模块包括3轴加速度计,3轴陀螺仪和3轴磁力计,可以通过蜂鸣器和振动器唤起早期预冲击落后警告的信息。在模拟秋季条件下进行了9种健康受试者的81倍实验。通过提前预警阈值算法的组合,结果表明,检测灵敏度可以达到98.61%,特异性为98.61%,平均前撞击铅时间为300ms。将来,GPS,GSM电子模块和可穿戴保护安全气囊将嵌入系统中,这将提高实时落后保护,并对老年人造成及时的立即辅助。

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