A Research of Fall Detection Module Based on NB-IOT
Youyu Wu, Pengcheng Zeng, Hua Ge · 2022 7th International Conference on Computer and Communication Systems (ICCCS) · 2022
It is of great significance for the health of the senior citizens to study the fall of the them. A timely and accurately detect the fall of the elderly and promptly inform the relatives and family members have a great influence of reducing the risk of more serious injury. To this, it’s designs a fall detection module based on Narrow Band Internet of Things (NB-IOT) and Micro-Electro-Mechanical System (MEMS). First of all, this paper introduced the fall detection research background, then expounds the module design, focusing on data acquisition module, data processing module, the design of the data transmission module, the design of the power supply module, finally complete the module Printed Circuit Board (PCB) drawing, and tested data transmission, the experimental results show that the module achieves the expected goal.