A Case Study on Human Tracking through Passive Wi-Fi tomography

Abstract

In the modern networking terminologies Wi-Fi plays a very important role which is a popular technology that uses radio waves to transmit data. In this research, it is mainly aimed on proof of concept for a Human Tracking with Wireless (Wi-Fi) tomography. In my research, I used Radio Tomographic Imaging (RTI) technologies to prove that humans can be track by analyzing the wireless signals Receive Signal Strength Indicator (RSSI) value. The main concern of this research is by capturing the Wireless Signals of an indoor environment from outside the premise and generate a Radio Tomographic Image and find out the co-relation of captured data with the human behaviors of the interior environment. Through this study, I want to emphasis that without actually staying in the required environment, anyone can come into conclusion on human behaviors by capturing the signals by staying outside and nearby. The identifiable significant difference in the RSSI value is used throughout the imaging and analyzing process. For this I collected data on real world scenarios, analyzed them and used mathematical and statistical approaches for the analyzing part. There are only limited number of research studies that have been carried out in this field. Thus, I have given an overview of investigating Human tracking that can be done in Wi-Fi band. This thesis is organized to show my research methods and knowledge obtained by analyzing the data in the above. Finally, I hope the discussions which are focused on Radio Tomographic technologies and how humans can be tracked with Wi-Fi tomography may profit further studies in this field.