Modeling of Human Activity Prediction in Healthcare Internet of Things (Iot) System

Abstract

The life of people can be improved simply and conveniently through the use of the Internet of
Things (IoT). The healthcare sector is considered to be one of the most encouraging IoT
applications. In the current paper, a predicted model of healthcare based on the Internet of
Things (IoT) system that uses distinct Markov state-space models is proposed. Here, a real-time
Received Signal Strength Indicator link quality assessment technique is followed by a way to
identify people’s movements and the probability of the next move, Experimental findings The
results of the coverage tests internal environments are displayed of the probability of the system
patient activity with the change of motion sensor rate of Received Signal Strength Indicator that
can detect the human activity for each state in Markov model.