Smart and secure IOT based child behaviour and health monitoring system using hadoop

Abstract

— IoT is becoming very relevant and getting popular in the field of medical diagnosis nowadays. In this paper, we are bound to limelight in this field which focuses briefly over the child health monitoring. In this work, we implemented a smart and secure health care monitor application that personify the monitoring of total health and mind status of the children. As part of which we are adopting the use of wireless sensors that will keep the child to get monitored. Our system enables the child to get involved with some android games which will make him/her to think and act dynamically. The game scores and the sensor readings obtained from the child will be monitored and analyzed by the system and actions will be taken accordingly. Since the data generated by the system are humongous, we adopt Hadoop in the background to effectively map the data and to reduce it into elementary. As this data need confidentiality in transmission, Apache Ranger is being used for the secure transmission and for the classification of the child behavior, C4.5 decision algorithm is used in the system. While testing with the medical dataset, C4.5 proved to be more accurate than ID3 algorithm.