This thesis explores the integration of (Frequency Shift) Chirp Spread Spectrum Modulation (FSCSSM) in Body Coupled Communication (BCC) using the Galvanic Coupling (GC) method. The goal is to provide a method of private communication in a noisy channel for devices in and around the human body. Various parameters, including frequency, electrode dimensions, electrode inter-distances, and noise levels, are evaluated. Results demonstrate that FSCSSM allows reliable communication in highly noisy channels, achieving a data rate of 9.6 kbps at a Signal-to-Noise Ratio (SNR) of -9dB. The impact of body composition is highlighted, showing its significance in single-body communication. The communication in single-body is extended by evaluating body-to-body communication, enabled by touch, as well. This research provides valuable insights for designing robust BCC-FSCSSM systems.

Locating people inside buildings is still an unsolved problem. There is a lot
of research going on in this field and many different solutions using different
techniques have been proposed. However, there is no widely accepted indoor
localization solution like how GPS is for outdoor localization due to less accuracy, higher hardware requirement, cost etc,. We introduce a system that locates
people indoors more accurately.