Using radar-on-chip sensors such as Google Soli and machine learning algorithms we explore the world of microgestures. The goal is to build systems that can: (i) sense hand and finger gestures in order to enable inconspicuous, precise and flexible object oriented interactions with everyday objects; (ii) enable sensing even in situations where the sensor is occluded by materials (e.g. phone in pocket or a leather bag); and (iii) perform sensing with low energy consumption.
Čopič Pucihar, K., Sandor, C., Kljun, M., Huerst, W., Plopski, A., Taketomi, T., … & Leiva, L. A. (2019, May). The missing interface: micro-gestures on augmented objects. CHI 2019
Leiva, L. A., Kljun, M., Sandor, C., & Čopič Pucihar, K. (2020, Oct). The Wearable Radar: Sensing Gestures Through Fabrics. MobileHCI 2020
Attygalle, N.T.; Leiva, L.A.; Kljun, M.; Sandor, C.; Plopski, A.; Kato, H.; Čopič Pucihar, K. No Interface, No Problem: Gesture Recognition on Physical Objects Using Radar Sensing. Sensors 2021, 21, 5771. https://doi.org/10.3390/s21175771