The ability to sense mid-air gestures with miniaturised radars embedded in everyday objects, made of non-conductive materials, 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, a deeper understanding of how various occluding materials affect gesture recognition performance is needed. 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, this chapter presents a comparative evaluation of four (4) radar signal representations: (IQ representations in frequency domain, magnitude of IQ, 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 higher transmission coefficient . Moreover, range-Doppler
Attygalle, N., Kljun, M., Vuletic, U., & Pucihar, K. Č. (2026). Comparative Testing of Radar Signal Representations when Sensing Through Materials. In Klen Čopič Pucihar, Radu-Daniel Vatavu, Dariush Salami, Nuwan T. Attygalle (eds.) (ed.), Radar-Based Human-Computer Interaction (p. p. 51-70). Springer. https://doi.org/10.1007/978-3-032-04327-6_3