Human-centric connectivity enabled by body-coupled communications

Baldus, Heribert; Corroy, Steven; Fazzi, A.; Klabunde, K.; Schenk, T.C.W.

doi:10.1109/mcom.2009.5116816

Cited by 102 publications

(69 citation statements)

References 6 publications

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“…In this case, the human body acts as a conductor between both electrodes [49], and since this hybrid-mode is common, we refer to it as intrabody coupling. Past work used many terms to describe this hybrid-mode, including active intrabody communication, body channel communication [235,7], passive bioelectrical measurements [157], and active bioimpedance sensing [97].…”

Section: Transmit + Receive Mode (Intrabody Coupling)mentioning

confidence: 99%

“…Equivalent circuit models can quickly become more complex when environmental effects, such as grounding [34] or wet skin [227] are considered. Several papers have shown that the human body reacts similarly to different frequencies [7,22,100], though Schenk et al point out that it is hard to obtain such data with statistical significance [176]. There are no indications that the electric fields typically used in capacitive sensing systems have adverse effects on users' health [71,235].…”

Section: Modeling and Physical Understandingmentioning

confidence: 99%

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Finding Common Ground

Große-Puppendahl

Holz

Cohn

et al. 2017

Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems

160

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For more than two decades, capacitive sensing has played a prominent role in human-computer interaction research. Capacitive sensing has become ubiquitous on mobile, wearable, and stationary devices-enabling fundamentally new interaction techniques on, above, and around them. The research community has also enabled human position estimation and whole-body gestural interaction in instrumented environments. However, the broad field of capacitive sensing research has become fragmented by different approaches and terminology used across the various domains. This paper strives to unify the field by advocating consistent terminology and proposing a new taxonomy to classify capacitive sensing approaches. Our extensive survey provides an analysis and review of past research and identifies challenges for future work. We aim to create a common understanding within the field of human-computer interaction, for researchers and practitioners alike, and to stimulate and facilitate future research in capacitive sensing.

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Section: Transmit + Receive Mode (Intrabody Coupling)mentioning

confidence: 99%

Section: Modeling and Physical Understandingmentioning

confidence: 99%

Finding Common Ground

Große-Puppendahl

Holz

Cohn

et al. 2017

Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems

160

View full text Add to dashboard Cite

show abstract

“…• Validate the most reliable measurement results presented by Philips research group [27], [15] and [28], which used battery operated capacitive BCC transceivers and portable instruments on actual human subjects to address experimental measurement uncertainties for large sets of measurements considering variable factors. The simulation results also conform to experimental observations/measurements conducted with in-house BCC transmitter/receiver.…”

Section: Summary Of Contributions To the Bulk Of Researchmentioning

confidence: 95%

Variation-Aware System Design Simulation Methodology for Capacitive BCC Transceivers

Kazim

2015

Linköping Studies in Science and Technology. Dissertations

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Capacitive body coupled communication (BCC), frequency range 500 kHz to 15 MHz 1 , is considered an emerging alternate short range wireless technology which can meet the stringent low power consumption (< 1 mW) 2 and low data rate (< 100 kbps) 3 requirements for the next generation of connected devices for applications like internet-of-things (IoT) and wireless sensor network (WSN). But a reliable solution for this mode of communication covering all possible body positions and maximum communication distances around the human body could not be presented so far, despite its inception around 20 years back in 1995. The uncertainties/errors associated with experimental measurement setup create ambiguity about the measured propagation loss or transmission errors. The reason is the usage of either earth grounded lab instruments or the direct coupling of earth ground with transmitter/receiver or the analog front end cut-off frequency limitations in a few MHz region or the balun to provide isolation or the measurements on simplified homogeneous biological phantoms. Another source of ambiguity in the experimental measurements is attributed to the natural variations in human tissue electrophysiological properties from person to person which are also affected by physical factors like age, gender, number of cells at different body locations and humidity. The analytical models presented in the literature are also oversimplified which do not predict the true propagation loss for capacitive BCC channel.An attempt is being made to understand and demonstrate, qualitatively and quantitatively, the physical phenomenon of signal transmission and propagation characteristics e.g., path loss in complex scenarios for capacitive BCC channel by both the experimental observations/measurements and simulation models in this PhD dissertation. An alternate system design simulation methodology has been proposed which estimates the realistic path loss even for longer communication distances > 50 cm for capacitive BCC channel. The proposed simulation methodology allows to vary human tissue dielectric/thickness properties and easily integrates with the circuit simulators as the output is in the form of S-parameters. The advantage is that the capacitive BCC channel characteristics e.g., signal attenuation as a function of different physical factors could be readily simulated at the circuit level to choose appropriate circuit topology and define suitable system specifications. This simulation methodology is based on full-wave electromagnetic analysis and 3D modeling of human body and environment using their conductivity, permittivity, and tangent loss profile to estimate the realistic propagation loss or path loss due to their combined interaction with the electrode coupler for capacitive BCC channel. This methodology estimates the complex path impedance from transmitter to receiver which is important to determine the matching requirements for maximum power transfer. The simulation methodology also contributes towards better understanding of...

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“…In contrast to near field magnetic coupling or volume conduction alternatives [5], [6], the use of RF links for intra-body communication has the advantage of wider bandwidth and can safely penetrate tissue structures and organs to support the broadest range of possible IBN applications. Our focus here is on deeply implanted devices that need to communicate with each other within the same host body.…”

Section: The Radio Frequency Intra-body Channelmentioning

confidence: 99%

Radiowave propagation characteristics of the intra-body channel at 2.38 GHz

El-Saboni

Conway

Cotton

et al. 2017

2017 IEEE 14th International Conference on Wearable and Implantable Body Sensor Networks (BSN)

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Abstract-Applications are emerging that feature multiple implanted devices as part of an intra-body network. Establishing high bandwidth communications between such devices is challenging and there is a need to understand the principles of the intra-body channel. This paper presents a numerical analysis of the wave propagation between identical antennas in the MedRadio operating band (2.36-2.40 GHz) within cylindrical three layered tissue equivalent phantoms. The results presented show the effect of dielectric boundaries and different tissue properties on dominant wave propagation paths and link gain which provides essential information for efficient system design.

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Human-centric connectivity enabled by body-coupled communications

Cited by 102 publications

References 6 publications

Finding Common Ground

Finding Common Ground

Variation-Aware System Design Simulation Methodology for Capacitive BCC Transceivers

Radiowave propagation characteristics of the intra-body channel at 2.38 GHz

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