Real time human movement tracking system is a challenging task in the field of Internet of Things (IoT) in an organization environment.This environment is achieved by the combination of orientation sensor and Bluetooth Low Energy (BLE) technologies in smartphones which belongs to IoT. Orientation sensor senses the day today human activity signals from the users smartphone and then BLE transmits the sensed signals to monitor using star topology. Received user signals are then manipulated and classified using ten different algorithms. The performance of the proposed method is measured by quantitative measures. Numerical results from the experiment shows superiority of the proposed method.
D. Kothandaraman and C. Chellappan. Human Movement Tracking System with Smartphone Sensing and Bluetooth Low Energy in Internet of Things.
DOI: https://doi.org/10.36478/ajit.2016.661.669
URL: https://www.makhillpublications.co/view-article/1682-3915/ajit.2016.661.669