Fall Monitoring System for the Elderly by Integrating Multi-Sensor and Intelligent Algorithm
Xiangyu Gong, Qian Lei, Mengying Lin, Xinyan Hu, Binyi Lian, Zixin Huang · 2024
Falling has become an important safety hazard in the life of the elderly. Aiming at the problems such as uncertain fall Angle threshold and inaccurate fall judgment in the elderly, this paper proposes a new fall monitoring strategy for the elderly by utilizing the synergistic effect of multiple sensors such as posture, heart rate and blood oxygen. The random forest algorithm is used to select the number of samples and the optimal attributes to realize the accurate recognition of complex poses. After debugging and running tests, the fall angle threshold becomes clear. The design program and cloud platform realize the visualization of fall angle data, improve the accuracy of fall determination, and can monitor the heart rate, blood oxygen and other data parameters of the elderly in real time. The experimental results show that this strategy can effectively and accurately monitor the fall angle. Compared with the traditional fall monitoring system, the determination of the angle data threshold is optimized, which is conducive to ensuring the life safety of the elderly, and has important application significance for promoting the intelligent life of the elderly and improving the quality of life.