Human Behavior Collecting in a Smart Home (SH) within IoT

Abstract

It is widely researched that last 20 years fall accidents increased dramatically. Most often it happens with elderly people who leave alone. Without timely assistance, fall accident may lead to unpredictable consequences. Nowadays smart home technologies allow not only monitor but collect and process human behavior data. This diploma thesis applies cutting edge technologies to collect data from smart home based on KNX technology with help of Home Assistant software, preprocess it with a machine learning model stored in Amazon Web Service and notify emergency about fall event via Telegram messenger.