A study of fall detection monitoring system for elderly people through IOT and mobile based application devices in indoor environment

Padam Gharti
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引用次数: 7

Abstract

This research presents the structure and framework for identifying falls by remote observing of old individuals in indoor environments by taking advantages of the Internet of things as well as mobile-based applications. This smart framework identifies fall occurred to older individuals who are living alone or living in residential nursing homes. To monitor the fall it uses real-time monitoring by use of open source camera and wearable devices. The system is carried out by pose recognition and object detection method for identifying the object taken by an open-source camera.A systematic review was performed using the Primo Search tool for finding eBooks, articles, and journals from the CSU library database. To provide a high efficiency using this information all inclusion criteria were meet by choosing the journal article which was closely related to the topic. The proposed study of fall detection monitoring system for older people living in geriatric residents allows data for caregivers and clinicians to provide better control in monitoring the health status of older patients and allows closer communication with the patients’ family members and relatives. This study can be used as an approach for improving the cost of care in elderly population.
基于物联网和基于移动的室内环境应用设备的老年人跌倒检测监控系统研究
本研究提出了利用物联网和基于移动的应用程序,通过对室内环境中老年人的远程观察来识别跌倒的结构和框架。这个智能框架识别了独居或住在养老院的老年人发生的跌倒。为了监测下落,它使用开源摄像头和可穿戴设备进行实时监控。该系统采用姿态识别和目标检测方法对开源相机拍摄的目标进行识别。使用Primo Search工具从CSU图书馆数据库中查找电子书、文章和期刊进行系统评价。为了提供高效率地使用这些信息,通过选择与主题密切相关的期刊文章来满足所有的纳入标准。本文提出的老年居民跌倒检测监测系统的研究,可以为护理人员和临床医生提供数据,更好地控制老年患者的健康状况,并可以与患者的家人和亲属进行更密切的沟通。本研究可作为提高老年人口护理成本的一种方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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