Open AccessAutomatic monitoring system for the elderly based on internet of things
Author(s) -
Phie Chyan
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1088/1/012041
Subject(s) - computer science , population , software , subject (documents) , the internet , indonesian , artificial intelligence , computer security , world wide web , medicine , environmental health , operating system , philosophy , linguistics
The population group aged 60 years and over based on the age category from the Indonesian Ministry of Health is included in the elderly category and based on population projection data for 2020 the number reaches 27.08 million people or around 9.9% of the total Indonesian population. As a vulnerable age group, the elderly has several characteristics, namely physical abilities that have begun to decline and even some have disabilities which can prevent them from being able to take action when something is harmful to them physically. This study focuses on building an automatic monitoring system for the elderly in a closed environment. The system will monitor in a non-stop and real-time way using a variety of hardware equipped with sensors and artificial intelligence algorithms implemented in the system software so that the system can track the subject’s position, learn the subject’s behavior and then be able to detect abnormal behavior, for example in the elderly. the subject falls down, wobbles, shows an expression of panic or pain. The final result of this research is an automatic monitoring system which consists of the integration of various hardware and software which are interconnected in a computer network for monitoring and protection of the elderly.