Development of a Responsive Airbag Hardware Mechanism for Fall Mitigation and Injury Reduction in the Elderly
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Falls pose a significant risk to elderly individuals and often result in serious injuries due to the lack of immediate protective mechanisms. Therefore, a real-time protective system is needed to reduce the impact of falls. The research aims to develop a wearable airbag vest system that integrates real-time fall detection with a servo-based mechanical triggering mechanism for rapid airbag deployment. The system utilized an IMU sensor to monitor body motion and orientation, a microcontroller to process detection logic, and a servo motor to activate a CO₂ inflator through a spherical buckle mechanism. Performance evaluation was conducted to assess IMU accuracy and airbag inflation response. The IMU demonstrated an average orientation error below 2% for yaw, pitch, and roll compared to an inclinometer reference. Inflation tests showed a servo current peak of 1200–2000 mA, with the airbag reaching peak pressure within 1.2–2.5 seconds after triggering, achieving pressure levels between 85 and 120 psi. The proposed servo-based triggering mechanism provides sufficient responsiveness and reliability for wearable fall protection applications.
Ade, N., Stämpfli, R., & Schmitt, K.-U. (2016). Evaluating airbag safety vests for equestrian sports. Journal of Testing and Evaluation, 44(6), 2387–2395.
Aravind, G., Kiran, V. V., Sukumar, V. M., & Suhasini, P. S. (2024). Fall Detection and Protection by Airbag System. 2024 International Conference on Expert Clouds and Applications (ICOECA), 505–510.
Bernardes, E., & Viollet, S. (2022). Quaternion to Euler angles conversion: A direct, general and computationally efficient method. Plos One, 17(11), e0276302.
Gizela, B. A., Almira, A. S., & Pratiwi, W. R. (2024). Prevalensi cedera akibat jatuh pada kelompok lanjut usia dan pra-lanjut usia. MJS Medical Journal of Soeradji, 1(1), 46–60.
Hasan, D. (2017). Calculation of angular velocity, angular acceleration and torque of two common point rigid bodies using IMU. Journal of Applied and Physical Sciences.
Ibrahim, M., Shawish, S., Aldroubi, S., Dawoud, A., & Abdin, W. (2023). Airbag protection and alerting system for elderly people. Applied Sciences, 13(16), 9354.
Kim, M., Cho, J., Lee, S., & Jung, Y. (2019). IMU sensor-based hand gesture recognition for human-machine interfaces. Sensors, 19(18), 3827.
Kim, S., & Kim, M. (2023). Rotation representations and their conversions. Ieee Access, 11, 6682–6699.
Korendiy, V., Kachur, O., Gurskyi, V., & Krot, P. (2022). Studying the influence of the impact gap value on the average translational speed of the wheeled vibration-driven robot. Engineering Proceedings, 24(1), 25.
Ling, H., & Shabana, A. A. (2021). Euler angles and numerical representation of the railroad track geometry. Acta Mechanica, 232(8), 3121–3139.
Nadee, C., & Chamnongthai, K. (2015). Ultrasonic array sensors for monitoring of human fall detection. 2015 12th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), 1–4.
Nooruddin, S., Islam, M. M., Sharna, F. A., Alhetari, H., & Kabir, M. N. (2022). Sensor-based fall detection systems: a review. Journal of Ambient Intelligence and Humanized Computing, 13(5), 2735–2751.
Patra, B., & Bandyopadhyay, S. (2025). An analytical study of Euler angle and Rodrigues parameter representations of geometrically and establishing the relations between these. Robotica, 43(1), 163–193.
Semwal, V. B., Kumar, A., Nargesh, P., & Soni, V. (2023). Tracking of fall detection using IMU sensor: An IoHT application. Machine Learning, Image Processing, Network Security and Data Sciences: Select Proceedings of 3rd International Conference on MIND 2021, 815–826.
Shi, G., Chan, C. S., Li, W. J., Leung, K.-S., Zou, Y., & Jin, Y. (2009). Mobile human airbag system for fall protection using MEMS sensors and embedded SVM classifier. IEEE Sensors Journal, 9(5), 495–503.
Song, Z., Ou, J., Shu, L., Hu, G., Wu, S., Xu, X., & Chen, Z. (2022). Fall risk assessment for the elderly based on weak foot features of wearable plantar pressure. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 30, 1060–1070.
Stewart, S. L. (2022). Safely Covered or Dangerously Exposed: Analyzing the Safety Vest Code of Compliance.
Suprapto, S. S., Kusuma, V. A., Firdaus, A. A., Putra, W. H., & Yuniar, R. J. (2024). Design and build an airbag system for elderly fall protection using the MPU6050 sensor module. International Journal of Reconfigurable and Embedded Systems (IJRES), 111, 111–116.
Usmani, S., Saboor, A., Haris, M., Khan, M. A., & Park, H. (2021). Latest research trends in fall detection and prevention using machine learning: A systematic review. Sensors, 21(15), 5134.
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