Empirical measurements of intrabody communication performance under varied physical configurations

Partridge, Kurt; Dahlquist, Bradley; Veiseh, Alireza; Cain, Annie; Foreman, Ann; Goldberg, Joseph H.; Borriello, Gaetano

doi:10.1145/502348.502381

Cited by 78 publications

(18 citation statements)

References 10 publications

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“…Hardware for the shunt, transmit, and receive modes is similar and usually consists of an oscillator connected to the transmit electrode to generate an electric field, and an amplifier and analog-to-digital converter (ADC) connected to the receive electrode. In loading mode, [42,64,132,162] →Ink [59,57,58] →Paint [18] →Metalization [208] Gold -non-corrosive, skin-friendly →Gold leaf [98] →Gold coating [11] Aluminum -flexible, high availability →Foil [70,147,196,202] →Mylar [190] Silver -non-corrosive, flexible →Ink [76,87,105,108,203]+ →Thread/Yarn [185] →Plate [67] Carbon -enabling electrical conductivity →Ink [203] →Carbon-filled PDMS (cPDMS) [217] →Filament [20,123,177] ITO -transparent electrodes [64,119,199] Anisotropic materials -directing e-fields →Anisotropic 'Zebra' tape [91] →Anisotropic 'Zebra' rubber [24] Other materials →Water [41,173] & Plants [153] →Ionized gas [72] →Metal objects [43,68,173,207,226]+ →Electro-optic crystal [...…”

Section: Sensing Electronicsmentioning

confidence: 99%

Finding Common Ground

Große-Puppendahl

Holz

Cohn

et al. 2017

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

162

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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: Sensing Electronicsmentioning

confidence: 99%

Finding Common Ground

Große-Puppendahl

Holz

Cohn

et al. 2017

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

162

View full text Add to dashboard Cite

show abstract

“…Further systems with similar coupling methods have shown the potential of data communication through the human body [2][3][4]. All these systems used a fixed carrier frequency.…”

Section: Introductionmentioning

confidence: 99%

Galvanical Coupling for Data Transmission through the Human Body

Wegmueller¹,

Oberle

Felber

et al. 2006

2006 IEEE Instrumentation and Measurement Technology Conference Proceedings

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Using the human body as a transmission medium for electrical signals becomes a novel data communication technique in biomedical monitoring systems. Galvanical coupling is a promising approach for wireless intra-body data transmission between sensors. In this work, special attention is given to the coupling of the current into the human body. Safety requirements have to be fulfilled and optimal signal coupling is requested. Therefore, different electrodes are compared. A test system offers up to 1 mA contact current modulated in the frequency range of 10 kHz to 1 MHz. The injected current is 20 times below the maximum allowed contact current and more than 50 times below nerve stimulation. Such a low-current approach enables data communication that is more energy-saving than other wireless technologies.

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“…The sink serves as a subdermal or epidermal interface that connect a neuron-based BANN with external devices by converting incoming electrochemical signals to electrostatic or electromagnetic signals. If electrostatic signals are used, they realize a body-coupled communication scheme [16,21] for carrying sensory data to an epidermal device(s) such as a smartphone that the user holds and a device that is embedded in the floor the user stands on. If electromagnetic signals are used, they realize radio frequency communications to carry sensory data to an around-body mobile device(s) such as a smartphone and tablet.…”

Section: A Service-oriented Architecture For Neuron-based Body Area Nmentioning

confidence: 99%

A Service-Oriented Architecture for Body Area NanoNetworks with Neuron-based Molecular Communication

et al. 2014

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Molecular communication provides communication and networking capabilities for nanomachines such as biosensors and bio-actuators to form and enable Body Area NanoNetworks (BANNs). This paper considers neuronbased molecular communication, which utilizes natural neurons as a primary component to build BANNs, and proposes an end-to-end software architecture to manage and control neuron-based BANNs through a series of software services. Those services aid to realize end user applications in healthcare, such as biomedical and rehabilitation applications. In the proposed architecture, a neuron-based BANN consists of a set of nanomachines and a network of neurons that are artificially formed into a particular topology. This paper investigates two mechanisms in the proposed architecture: (1) an artificial assembly method to form neurons into specific three-dimensional topology patterns and (2) a communication protocol for neuronal signaling based on Time Division Multiple Access (TDMA), called Neuronal TDMA. The assembly method uses silica beads as growth surface and bead-bead contacts as geometrical constraints on neuronal connectivity. A web lab experiment verifies this method with neuronal hippocampal cells. Neuronal TDMA leverages an evolutionary multiobjective optimization algorithm (EMOA) to optimize the signaling schedules for nanomachines. Simulation results demonstrate that the Neuronal TDMA efficiently obtains quality solutions.

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Empirical measurements of intrabody communication performance under varied physical configurations

Cited by 78 publications

References 10 publications

Finding Common Ground

Finding Common Ground

Galvanical Coupling for Data Transmission through the Human Body

A Service-Oriented Architecture for Body Area NanoNetworks with Neuron-based Molecular Communication

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