"Real-Time Radar Gesture recognition Dataset Using uRAD Sensor"

"AbstractThis dataset presents a collection of segmented human gesture recordings acquired using radar sensing. The data were collected using a compact radar sensor operating under controlled indoor conditions, capturing the in-phase (I) and quadrature (Q) signal components associated with human motion. An energy-based segmentation algorithm was used to find motion and separate individual gestures from continuous radar streams. Potential applications include gesture classification, real-time motion detection, embedded radar systems, and the development of intelligent sensing algorithms for safety and accessibility technologies. The dataset provides a reproducible benchmark for evaluating signal processing pipelines and machine learning models using radar-based sensing data."