Exploring Tangible Interactions with Radar Sensing

Yeo, Hui-Shyong; Minami, Ryosuke; Rodriguez, Kirill; Shaker, George; Quigley, Aaron

doi:10.1145/3287078

Cited by 26 publications

(43 citation statements)

References 61 publications

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“…This is demonstrated by the radar measurements that show a correlation between the IF signal amplitude and the loss property of the blood glucose sample. The theory behind the correlation of the minute changes in the complex permittivity and the amplitude of the IF signal for material and subject identification were explained in [67,84,85]. These papers detail the methodology for understanding the correlation between the average amplitude of the output IF signal and the dielectric parameters of the MUT.…”

Section: Discussionmentioning

confidence: 99%

Blood Glucose Level Monitoring Using an FMCW Millimeter-Wave Radar Sensor

et al. 2020

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In this article, a novel sensing approach is presented for glucose level monitoring where a robust low-power millimeter(mm)-wave radar system is used to differentiate between blood samples of disparate glucose concentrations in the range 0.5 to 3.5 mg/mL. The proposed radar sensing mechanism shows greater capabilities for remote detection of blood glucose inside test tubes through detecting minute changes in their dielectric properties. In particular, the reflected mm-waves that represent unique signatures for the internal synthesis and composition of the tested blood samples, are collected from the multi-channels of the radar and analyzed using signal processing techniques to identify different glucose concentrations and correlate them to the reflected mm-wave readings. The mm-wave spectrum is chosen for glucose sensing in this study after a set of preliminary experiments that investigated the dielectric permittivity behavior of glucose-loaded solutions across different frequency bands. In this regard, a newly-developed commercial coaxial probe kit (DAK-TL) is used to characterize the electromagnetic properties of glucose-loaded samples in a broad range of frequencies from 300 MHz to 67 GHz using two different 50 Ω open-coaxial probes. This would help to determine the portion of the frequency spectrum that is more sensitive to slight variations in glucose concentrations as indicated by the amount of change in the dielectric constant and loss tangent parameters due to the different concentrations under test. The mm-wave frequency range 50 to 67 GHz has shown to be promising for acquiring both high sensitivity and sufficient penetration depth for the most interaction between the glucose molecules and electromagnetic waves. The processed results have indicated the reliability of using mm-wave radars in identifying changes in blood glucose levels while monitoring trends among those variations. Particularly, blood samples of higher glucose concentrations are correlated with reflected mm-wave signals of greater energy. The proposed system could likely be adapted in the future as a portable non-invasive continuous blood glucose level monitoring for daily use by diabetics.

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Section: Discussionmentioning

confidence: 99%

Blood Glucose Level Monitoring Using an FMCW Millimeter-Wave Radar Sensor

et al. 2020

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“…This means that any transmitter or receiver has a certain amount (at least one) of transmit or receive antennas depending on the antenna type and design. Suitable antenna types include, but are not limited to, horn antenna [64], [65], [68], [74], [102], [109], [116]- [119], [142]- [155], yagi antenna [149], lens antenna [59], [105], reflectarray antenna [85], [86], cassegrain antenna [88], [113], (on-chip integrated) patch antenna [49], [54], [82], [127], [128], [139], [151], [156], [157], and parabolic antenna [110], [112]. Suitable antenna designs include, but are not limited to, phased array antenna design [144], [145], [147], [158]- [162], frequency scanned antenna design [87], fan and pencil beam antenna design [119], gaussian beam antenna design [100], and omni-directional antenna design [146].…”

Section: A Collection Systemsmentioning

confidence: 99%

“…Health monitoring and speech acquisition rely on phase and Doppler shift information in time [62], [109], [113]. Object identification and classification employ Intermediate Frequency (IF) signal variations across different IF channels [137], [139].…”

Section: A Collection Systemsmentioning

confidence: 99%

“…The end result of the pre-processing phase in the application pipeline is a set of raw data samples in the form of, for example, sequence windows [137], [139], [158], (voxelized) point cloud frames [46], [47], [138], spectrograms [48], [76], [93], radar images [103], [120], [174], etc. This raw form of data, however, is not always used directly by analytical models.…”

Section: Feature Extractionmentioning

confidence: 99%

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Millimeter Wave Sensing: A Review of Application Pipelines and Building Blocks

et al. 2021

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The increasing bandwidth requirement of new wireless applications has lead to standardization of the millimeter wave spectrum for high-speed wireless communication. The millimeter wave spectrum is part of 5G and covers frequencies between 30 and 300 GHz that correspond to wavelengths ranging from 10 to 1 mm. Although millimeter wave is often considered as a communication medium, it has also proved to be an excellent 'sensor', thanks to its narrow beams, operation across a wide bandwidth, and interaction with atmospheric constituents. In this paper, which is to the best of our knowledge the first review that completely covers millimeter wave sensing application pipelines, we provide a comprehensive overview and analysis of different basic application pipeline building blocks, including hardware, algorithms, analytical models, and model evaluation techniques. The review also provides a taxonomy that highlights different millimeter wave sensing application domains. By performing a thorough analysis, complying with the systematic literature review methodology and reviewing 165 papers, we not only extend previous investigations focused only on communication aspects of the millimeter wave technology and using millimeter wave technology for active imaging, but also highlight scientific and technological challenges and trends, and provide a future perspective for applications of millimeter wave as a sensing technology.

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“…In our approach, we do not only track the position of the finger, but also its orientation. Instead of vision, also other modalities such as radar sensing [40] have been used. Voelker et al [36] presented Passive Untouched Capacitive Widgets that can be tracked on top of unmodified capacitive touch screens.…”

Section: Object Trackingmentioning

confidence: 99%

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et al. 2019

Proceedings of the 2019 ACM International Conference on Interactive Surfaces and Spaces

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a) (b) (c) Figure 1. We present a concept and a prototype of a system for creating personalized user interfaces from paper. Users can cut out preferred shapes from paper and add interaction functionalities to them. The paper shapes and the user's fingers are tracked by an RGBD camera mounted above the interaction surface ( Figure 1a). Our processing pipeline recognizes and measures manipulations of the shapes (Figure 1b), such as movements and touches, which can be mapped to certain functions according to the assigned interactions, e.g. for controlling a toy rover as illustrated in Figure 1c. ABSTRACTUser interfaces rarely adapt to the specific user preferences or the task at hand. We present a method that allows to quickly and inexpensively create personalized interfaces from plain paper. Users can cut out shapes and assign control functions to these paper snippets via a simple configuration interface. After configuration, control takes place entirely through the manipulation of the paper shapes, providing the experience of a tailored tangible user interface. The shapes and assignments can be dynamically changed during use. Our system is based on markerless tracking of the user's fingers and the paper shapes on a surface using an RGBD camera mounted above the interaction space, which is the only hardware sensor required. Our approach and system are backed up by two studies where we determined what shapes and interaction abstractions users prefer, and verified that users can indeed employ our system to build real applications with paper snippet interfaces.

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Exploring Tangible Interactions with Radar Sensing

Cited by 26 publications

References 61 publications

Blood Glucose Level Monitoring Using an FMCW Millimeter-Wave Radar Sensor

Blood Glucose Level Monitoring Using an FMCW Millimeter-Wave Radar Sensor

Millimeter Wave Sensing: A Review of Application Pipelines and Building Blocks

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