Design and build an airbag system for elderly fall protection using the MPU6050 sensor module

S. S. Suprapto, Vicky Andria Kusuma, Aji Akbar Firdaus, Wahyu Haryanto Putra, Risty Jayanti Yuniar
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Abstract

The use of technology has a significant impact to reduce the consequences of accidents. Sensors, small components that detect interactions experienced by various components, play a crucial role in this regard. This study focuses on how the MPU6050 sensor module can be used to detect the movement of people who are falling, defined as the inability of the lower body, including the hips and feet, to support the body effectively. An airbag system is proposed to reduce the impact of a fall. The data processing method in this study involves the use of a threshold value to identify falling motion. The results of the study have identified a threshold value for falling motion, including an acceleration relative (AR) value of less than or equal to 0.38 g, an angle slope of more than or equal to 40 degrees, and an angular velocity of more than or equal to 30 °/s. The airbag system is designed to inflate faster than the time of impact, with a gas flow rate of 0.04876 m3 /s and an inflating time of 0.05 s. The overall system has a specificity value of 100%, a sensitivity of 85%, and an accuracy of 94%.
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使用 MPU6050 传感器模块设计并构建老年人防坠落安全气囊系统
技术的使用对减少事故后果有着重要影响。传感器是检测各部件相互作用的小型元件,在这方面发挥着至关重要的作用。本研究的重点是如何利用 MPU6050 传感器模块来检测正在跌倒的人的运动,跌倒的定义是下半身(包括臀部和脚部)无法有效支撑身体。本研究提出了一种安全气囊系统,以减少跌倒时的冲击力。本研究的数据处理方法包括使用阈值来识别跌倒运动。研究结果确定了坠落运动的阈值,包括相对加速度 (AR) 值小于或等于 0.38 g、角度斜率大于或等于 40 度以及角速度大于或等于 30°/s。整个系统的特异性值为 100%,灵敏度为 85%,准确度为 94%。
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