{"title":"Design and Implementation of Fall Detection Equipment for the Elderly Based on NB-IoT","authors":"Xiuwei Fan, Zicheng Li, Lei Zhang","doi":"10.1109/AICIT55386.2022.9930275","DOIUrl":null,"url":null,"abstract":"In today’s society, the phenomenon of elderly people getting lost and accidentally falling often occurs, and the death caused by falling without timely assistance has become a public concern. In order to solve this problem, a low-power fall detection wearable device for the elderly based on Narrowband Internet of Things (NB-IoT) technology is designed and developed. The device uses STM32 MCU as the control core, and collects position information and motion status through ATK1218-BD positioning module and MPU6050 acceleration sensor respectively. When an elderly person falls, the device will immediately upload the fall alarm signal and location information to the OneNET cloud platform through the M5310A 4G wireless transmission module. The cloud platform can notify the elderly’s family by SMS through the mobile phone APP, so that the family can provide timely assistance to the elderly. Compared with traditional fall detection devices, the device is not only much smaller in size and power consumption, but also can achieve richer functions such as remote positioning and tracking, fall detection, and one-touch call for help. The experimental results prove that this device provides more reliable security for the health monitoring of the elderly.","PeriodicalId":231070,"journal":{"name":"2022 International Conference on Artificial Intelligence and Computer Information Technology (AICIT)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Artificial Intelligence and Computer Information Technology (AICIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AICIT55386.2022.9930275","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In today’s society, the phenomenon of elderly people getting lost and accidentally falling often occurs, and the death caused by falling without timely assistance has become a public concern. In order to solve this problem, a low-power fall detection wearable device for the elderly based on Narrowband Internet of Things (NB-IoT) technology is designed and developed. The device uses STM32 MCU as the control core, and collects position information and motion status through ATK1218-BD positioning module and MPU6050 acceleration sensor respectively. When an elderly person falls, the device will immediately upload the fall alarm signal and location information to the OneNET cloud platform through the M5310A 4G wireless transmission module. The cloud platform can notify the elderly’s family by SMS through the mobile phone APP, so that the family can provide timely assistance to the elderly. Compared with traditional fall detection devices, the device is not only much smaller in size and power consumption, but also can achieve richer functions such as remote positioning and tracking, fall detection, and one-touch call for help. The experimental results prove that this device provides more reliable security for the health monitoring of the elderly.