Radar sensing in human-computer interaction

Yeo, Hui-Shyong; Quigley, Aaron

doi:10.1145/3159651

Cited by 25 publications

(24 citation statements)

References 7 publications

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“…The Soli sensor is manufactured as a compact semiconductor device, which requires low energy [3]. This microsystem is used for ubiquitous gesture interaction for a large variety of applications, which include Internet of Things (IoT), virtual reality (VR) [15], object selection and manipulation [2], material recognition [16], and creative musical and audio-visual contexts [17]. Soli is the first millimeter-wave radar system that is designed end-to-end for ubiquitous and intuitive fine gesture interaction.…”

Section: A Radar-sensing Technologiesmentioning

confidence: 99%

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Eliciting Contact-Based and Contactless Gestures With Radar-Based Sensors

et al. 2019

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Radar sensing technologies now offer new opportunities for gesturally interacting with a smart environment by capturing microgestures via a chip that is embedded in a wearable device, such as a smartwatch, a finger or a ring. Such microgestures are issued at a very small distance from the device, regardless of whether they are contact-based, such as on the skin, or contactless. As this category of microgestures remains largely unexplored, this paper reports the results of a gesture elicitation study that was conducted with twenty-five participants who expressed their preferred user-defined gestures for interacting with a radar-based sensor on nineteen referents that represented frequent Internet-of-things tasks. This study clustered the 25 × 19 = 475 initially elicited gestures into four categories of microgestures, namely, micro, motion, combined, and hybrid, and thirty-one classes of distinct gesture types and produced a consensus set of the nineteen most preferred microgestures. In a confirmatory study, twenty new participants selected gestures from this classification for thirty referents that represented tasks of various orders; they reached a high rate of agreement and did not identify any new gestures. This classification of radar-based gestures provides researchers and practitioners with a larger basis for exploring gestural interactions with radar-based sensors, such as for hand gesture recognition.

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Section: A Radar-sensing Technologiesmentioning

confidence: 99%

“…Soli was officially released to be incorporated in the forthcoming Google Pixel 4 smartphone for gesture recognition 2 . Despite these advances, only five system-defined gestures are investigated [3], [16]: singletapping to press a virtual button (Fig. 1b), rubbing a finger to turn a virtual dial (Fig.…”

Section: A Radar-sensing Technologiesmentioning

confidence: 99%

Eliciting Contact-Based and Contactless Gestures With Radar-Based Sensors

et al. 2019

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“…While Paradiso et al [40,41] employed radar to track motion for musical interaction and performance over 20 years ago, radar sensing in the context of HCI has received comparatively little attention, until the recent availability of small low-cost hardware elements [13,20,60] which has enabled preliminary explorations [4,69]. Due to its higher sensitivity and wider sensing range, low-cost radar is increasingly replacing PIR sensors in smart lighting products that sense motion to turn on the light automatically, for example.…”

Section: Radar In Hcimentioning

confidence: 99%

“…Such tangible interactions have been explored in education [6], musical expressiveness [24,43], input [12,14] and data manipulation [47,55]. This paper proposes the use of miniature radar sensing [69] to enhance such interactions.…”

Section: Introductionmentioning

confidence: 99%

Exploring Tangible Interactions with Radar Sensing

Yeo

Minami

Rodriguez

et al. 2018

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.

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Research has explored miniature radar as a promising sensing technique for the recognition of gestures, objects, users' presence and activity. However, within Human-Computer Interaction (HCI), its use remains underexplored, in particular in Tangible User Interface (TUI). In this paper, we explore two research questions with radar as a platform for sensing tangible interaction with the counting, ordering, identification of objects and tracking the orientation, movement and distance of these objects. We detail the design space and practical use-cases for such interaction which allows us to identify a series of design patterns, beyond static interaction, which are continuous and dynamic. With a focus on planar objects, we report on a series of studies which demonstrate the suitability of this approach. This exploration is grounded in both a characterization of the radar sensing and our rigorous experiments which show that such sensing is accurate with minimal training. With these techniques, we envision both realistic and future applications and scenarios. The motivation for what we refer to as Solinteraction, is to demonstrate the potential for radar-based interaction with objects in HCI and TUI. CCS Concepts: • Human-centered computing → Interaction techniques; Interface design prototyping; Ubiquitous and mobile computing design and evaluation methods;

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“…For instance, radars for automotive, ground, and weather applications are commonly employed at different scales with variable lighting, peripheral, and environmental conditions. The low-cost hardware items of small-size modules have recently become available have been allowed for some introductory explorations in [53][54][55][56]. Human computer interface (HCI) has also shown to be a potential area for radars to detect the human's hand gesture at a micro-scale (finger motion recognition) [57,58], enhance reality interactions [59], activity discernment [60], liquid identification [61] and to distinguish between various materials and objects by analyzing the characteristics of the reflected radio waves [62].…”

Section: Introductionmentioning

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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Radar sensing in human-computer interaction

Cited by 25 publications

References 7 publications

Eliciting Contact-Based and Contactless Gestures With Radar-Based Sensors

Eliciting Contact-Based and Contactless Gestures With Radar-Based Sensors

Exploring Tangible Interactions with Radar Sensing

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

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