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ElicitingContact-BasedandContactlessGesturesWithRadar-BasedSensors.pdf
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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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Magrofuoco, N., Perez Medina, J. L., Roselli, P., Vanderdonckt, J., & Villarreal Narvaez, S. (2019). Eliciting Contact-based and Contactless Gestures with Radar-based Sensors. IEEE Access, 7(1), 176982-176997. https://doi.org/10.1109/access.2019.2951349 (Original work published 2019)