Real-Time Healthcare Monitoring System using Smartphones

Monitoring and tracking healthcare conditions of crowds is a challenging mission. Although, there are several existing techniques to monitor and track crowds, these techniques suffer a number of serious issues such as inaccurate identification, high energy consumption and high infrastructure cost. In this paper, we propose to use a low-cost solution without the need to build any infrastructure by exploiting the availability of Bluetooth and Wi-Fi interfaces in smartphones. We design a Smart Real-Time Healthcare Monitoring and Tracking System based on mobile clustering. This application can be used in large public events such as the annual Muslim pilgrimage (Hajj), festivals, airports, train stations, etc. The monitored crowd are grouped autonomously into small clusters (i.e. piconets). Each cluster collects its members' data via Bluetooth and then delivers it using WiFi/3G/4G. We have evaluated the proposed approach via simulation and a prototype using our developed API under different scenarios. Our approach demonstrates 74% drop in energy consumption compared to a contemporary approach and its ability to detect 96.4% of participants.