Smart Reusable Airbag System for Fall Detection and Protection
DOI:
https://doi.org/10.32628/IJSRST25125501Keywords:
Fall Prevention, Smart Wearable Airbag, Elderly Protection, Motion Tracking, MPU6050 Sensor, Arduino Controller, DC Air Pump, TPU Inflatable Cushion, Reusable Safety DeviceAbstract
This project introduces an intelligent, wearable airbag system designed to enhance safety for two primary user groups: elderly individuals and riders of two-wheeled vehicles. Falls represent one of the most serious health risks for older adults, while motorcycle crashes continue to account for a large proportion of trauma incidents. The proposed system integrates real-time motion tracking with an automated protection mechanism to reduce the severity of impact injuries. An MPU6050 sensor continuously measures acceleration, angular velocity, and posture. When the system detects a fall or sudden imbalance, it transmits data to an Arduino - based controller, which triggers a compact DC air pump. The pump inflates an air bladder using ambient air, and the air is then directed through a solenoid valve into a TPU airbag strategically positioned around critical body areas such as the chest, back, and hips. Inflation occurs within milliseconds, creating a cushion that mitigates impact forces. In contrast to single-use CO₂ cartridge airbags, this design is reusable, lightweight, and cost-efficient, making it suitable for daily wear. Integrated into vests or jackets and powered by a rechargeable battery, the system operates autonomously, offering a practical and affordable safety solution for seniors, motorcyclists, patients in rehabilitation, and others at risk of falls.
Downloads
References
Park, J., & Kim, S. (2018). Wearable fall detection system using inertial sensors. IEEE Sensors Journal, 18(3) DOI: https://doi.org/10.3390/s18072110
Singh, A., & Rajasekaran, M. (2021). Design of smart airbag for elderly fall protection. Journal of Biomedical Engineering, 42(1), 88-95.
Chang, L., & Zhou, W. (2020). Real-time fall detection based on Arduino and MPU6050. International Journal of Embedded Systems, 9(2), 66-72.
Narayanan, R., & Jebarani, R. (2022). IoT-based fall detection system using ESP32 and sensors. IoT d Smart Healthcare Systems, 6(4) 311-319.
Li, H., & Zhang, T. (2019). Intelligent airbag deployment for wearable protection devices. Biomedical Signal Processing and Control, 38, 230-237.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 International Journal of Scientific Research in Science and Technology

This work is licensed under a Creative Commons Attribution 4.0 International License.
https://creativecommons.org/licenses/by/4.0