Body-channel communication (BCC) is based on the principle of electrical field data transmission attributable to capacitive coupling through the human body. It is gaining importance now a day in the scenario of human centric communication because it truly offers a natural means of interaction with the human body. Traditionally, near field communication (NFC) considers as a magnetic field coupling based on radio frequency identification (RFID) technology. The RFID technology also limits the definition of NFC and thus reduces the scope of a wide range of applications. In recent years BCC, after its first origin in 1995, regain importance with its valuable application in biomedical systems. Primarily, KAIST and Philips research groups demonstrate BCC in the context of biomedical remote patient health monitoring system. BCC transceiver mainly consists of two parts: one is digital baseband and the other is an analog front end (AFE). In this thesis, an analog front end receiver has presented to support the overall BCC. The receiver (Rx) architecture consists of cascaded preamplifier and Schmitt trigger. When the signals are coming from the human body, they are attenuated around 60 dB and gives weak signals in the range of mV. A high gain preamplifier stage needs to amplify these weak signals and make them as strong signals. The preamplifier single stage needs to cascade for the gain requirement. The single stage preamplifier, which is designed with ST65 nm technology, has an open loop gain of 24.01 dB and close loop gain of 19.43 dB. A flipped voltage follower (FVF) topology is used for designing this preamplifier to support the low supply voltage of 1 V because the topology supports low voltage, low noise and also low power consumption. The input-referred noise is 8.69 nV/sqrt(Hz) and the SNR at the input are 73.26 dB. The Schmitt trigger (comparator with hysteresis) is a bistable positive feedback circuit. It builds around two stage OTA with lead frequency compensation. The DC gain for this OTA is 26.94 dB with 1 V supply voltage. The corner analyzes and eye diagram as a performance matrix for the overall receiver are also included in this thesis work.

The Internet of Bodies (IoB) is a wireless network of on-body or in-body commu- nication formed by wearable, ingestible, injectable, and implantable smart devices. The vast majority of on-body communications, is typically required to be within <5 cm vicinity of the human body. The radiative nature of currently used RF devices leads to wasted energy that is radiated in unneeded off-body directions. Consequently, it degrades energy efficiency, introduces co-existence and interference problems, and imposes security threats on sensitive data. As an alternative, the capacitive body channel communication (BCC) couples the signal (between 10 kHz-100 MHZ) to the human body, which is more conductive than air. Hence, it provides lower loss, bet- ter privacy and confidentiality, and nJ/bit to pJ/bit energy efficiency. Accordingly, our work investigates orthogonal and non-orthogonal capacitive body channel access schemes for ultralow-power IoB networks with or without cooperation. We derive the closed-form optimal power allocation for uplink and downlink transmissions and the maximum number of IoB nodes satisfying a reliable and feasible network for non- cooperative schemes. The cooperative schemes necessitate joint optimization of both power and phase time allocations. We achieve this by using the Golden-Section search algorithm to minimize the power consumption in both phases.

<div>Decades of scaling in semiconductor technology has resulted in a drastic reduction in the cost and size of unit computing. This has enabled computing capabilities in small form factor wearable and implantable devices. These devices communicate with each other to form a network around the body, commonly known as the Wireless Body Area Network (WBAN). Radio wave transmission over air is the commonly used method of communication among these devices. However, the human body can be used as the communication medium by utilizing its electrical conductivity property. This has given rise to Human Body Communication (HBC), which provides higher energy efficiency and enhanced security compared to over the air radio wave communication enabling applications like remote health monitoring, secure authentication. In this thesis we characterize the human body channel characteristics at low frequencies, utilize the insight obtained from the channel characterization to build high energy-efficiency, interference-robust circuits and demonstrate the security and selectivity aspect of HBC through a Common Off the Shelf (COTS) component-based system. First, we characterize the response of the human body channel in the 10KHz1MHz frequency range with wearable transmitter/ receiver to study the feasibility of using it as a broadband communication channel. Voltage mode measurements with capacitive termination show almost at-band response in this frequency range, establishing the body as a broadband channel. The body channel response is also measured across different interaction scenario between two wearable devices and a wearable and a computer. A bio-physical model of the HBC channel is developed to explain the measurement results and the wide discrepancies found in previous studies.We analyze the safety aspect of different type of HBC by carrying out theoretical circuit and FEM based simulations. A study is carried out among multiple subjects to assess the effect of HBC on the vital parameters of a subject. A statistical analysis of the results shows no signicant change in the vital parameters before and during HBC transmission, validating the theoretical simulations showing >!000x safety margin compared to the established ICNIRP guidelines. Next, an HBC transceiver is built utilizing the wire-like, broadband human body channel to enable high energy efficiency. The transceiver also provides robustness to ambient interference picked up by the human body through integration followed by periodic sampling. The transceiver achieves 6.3pJ/bit energy effciency while operating at a maximum data rate of 30Mbps, while providing -30dB interference tolerant operation. Finally, a COTS based HBC prototype is developed, which utilizes low frequency operation to enable selective and physically secure communication strictly during touch for Human Computer Interaction (HCI) between two wearable devices for the rst time. A thorough study of the effect of different parameters such as environment, posture, subject variation, on the channel loss has also been characterized to build a robust HBC system working across different use cases. Applications such as secure authentication (e.g. opening a door, pairing a smart device) and information exchange (e.g. payment, image, medical data, personal profile transfer) through touch is demonstrated to show the impact of HBC in enabling new human-machine interaction modalities.</div>