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 nger 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-ve participants who expressed their preferred user-dened gestures for interacting with a radar-based sensor on nineteen referents that represented frequent Internet-of-things tasks. This study clustered the 25 19 D 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 conrmatory study, twenty new participants selected gestures from this classication for thirty referents that represented tasks of various orders; they reached a high rate of agreement and did not identify any new gestures. This classication 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.

Magrofuoco, N., Perez-Medina, J.-., Roselli, P., Vanderdonckt, J., Villarreal, S. (2019). Eliciting contact-based and contactless gestures with radar-based sensors. IEEE ACCESS, 7, 176982-176997 [10.1109/ACCESS.2019.2951349].

Eliciting contact-based and contactless gestures with radar-based sensors

Roselli P.;
2019-11-04

Abstract

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 nger 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-ve participants who expressed their preferred user-dened gestures for interacting with a radar-based sensor on nineteen referents that represented frequent Internet-of-things tasks. This study clustered the 25 19 D 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 conrmatory study, twenty new participants selected gestures from this classication for thirty referents that represented tasks of various orders; they reached a high rate of agreement and did not identify any new gestures. This classication 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.
4-nov-2019
Pubblicato
Rilevanza internazionale
Articolo
Esperti anonimi
Settore MAT/05 - ANALISI MATEMATICA
English
Magrofuoco, N., Perez-Medina, J.-., Roselli, P., Vanderdonckt, J., Villarreal, S. (2019). Eliciting contact-based and contactless gestures with radar-based sensors. IEEE ACCESS, 7, 176982-176997 [10.1109/ACCESS.2019.2951349].
Magrofuoco, N; Perez-Medina, J-; Roselli, P; Vanderdonckt, J; Villarreal, S
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/226378
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