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1.
Radar-based human-computer interaction when sensing through materials
Nuwan Attygalle, Matjaž Kljun, Arthur Sluÿters, Klen Čopič Pucihar, 2026, independent scientific component part or a chapter in a monograph

Abstract: We increasingly interact with computing devices that are either worn on the body (e.g. smartphones, smartwatches) or are embedded within our surroundings (e.g. smart homes, smart offices). These interactions occur through a variety of input methods, including physical buttons and knobs, mid-air gestures, touch and voice commands. With the exception of voice, these modalities require direct or near-direct physical contact with the device, typically involving line-of-sight or proximity for touch or grasp. However, interaction becomes constrained or entirely infeasible (i) when the interaction device is covered (e.g. when a smartphone is inside a pocket or a smartwatch is covered by a jacket sleeve), (ii) in sterile environments requiring separation between the user and device (e.g. when wearing personal protective equipment) or (iii) when interfaces are deliberately concealed for aesthetic, safety or functional reasons. Enabling interaction in such contexts is important to leverage the computational capabilities embedded in our environments. Yet, current technologies remain limited when interaction through occluding materials is needed. In this chapter, we examine existing research on the use of radar-based systems for interaction through materials, focusing on how materials affect system performance, principles for designing such interfaces and strategies to advance these systems.
Keywords: radar, human-computer interaction, sensing through materials
Published in RUP: 18.05.2026; Views: 218; Downloads: 8
.pdf Full text (53,62 MB)
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2.
Comparative testing of radar signal representations when sensing through materials
Nuwan Attygalle, Matjaž Kljun, Una Vuletić, Klen Čopič Pucihar, 2026, independent scientific component part or a chapter in a monograph

Abstract: The ability to sense mid-air gestures with miniaturised radars embedded in everyday objects opens up new opportunities for interaction. Applications include integration into wearable devices, automotive dashboards, smart furniture, and other components within smart environments. Despite this potential, the lack of studies on how various occluding materials affect gesture recognition performance hinders progress in this area. Previous studies have primarily focused on evaluating only one type of radar signal representation, despite the fact that several other representations exist and were proved effective. To address this, the chapter presents a comparative evaluation of four radar signal representations: In-phase and Quadrature (IQ) representations in the frequency domain and magnitude and range-angle (including both elevation and azimuth components) and range-Doppler. The goal is to assess their robustness against signal distortions introduced by occluding materials. Preliminary results indicate that recognition performance tends to improve with a higher transmission coefficient. Moreover, range-Doppler and range-angle representations exhibit significantly greater robustness to distortion compared to IQ representations
Keywords: comparative testing, radar signal representations, sensing through materials
Published in RUP: 18.05.2026; Views: 181; Downloads: 8
.pdf Full text (41,62 MB)
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