An XeThru X4 sensor can be used to accurately count respirations per minute. Elderly people cared for at home can benefit from a respiration monitoring device that can keep a check on vital signs.
In this video, as an extension of our previous safety test experiments (https://youtu.be/9tu3Tdbpywg), we present another false alarm test experiments for big machinery using the IR-UWB radar sensor developed at Hanyang University (HYU), Seoul, Korea, in more practical scenarios. Particularly this time, we concurrently compared the performances of our HYU radar with those of the P**v*** radar (a commercial product from Europe). The ranging distance is set to be equally 6 meters for both radars. The HYU radar uses sound and warning lamp together whenever, either right or wrong, detecting objects, while the P**v*** radar uses two-level sound only.
This video shows a real-time 3D positioning and tracking experiment using eight quasi-monostatic IR-UWB radars. Both 1D and 3D Kalman filters are used for the smooth 3D estimations. The algorithm used in this experiment is designed to be computationally more efficient than conventional 3D algorithms so that real-time operations can be feasible, even though multiple quasi-monostatic radar modules are employed.
This video shows another people counting experiments using an IR-UWB radar sensor in an elevator where all four side walls are made of metal. Although there exist severe multipath interferences as well as ping-pong effects of radio signals, we could maintain a reasonable level of accuracy.
The X4 UWB radar SoC by Novelda is put to the test and pushed through different occupancy scenarios. The X4 UWB radar SoC from Novelda is a ground-breaking technology development that enhances all key radar operating metrics, including sensitivity, range, power economy and level of integration.
Part of the polysomnography data where measured using an XeThru UWB radar sensor in the Medical Center of Hanyang University, Seoul, Korea. The radar was installed on the ceiling at the distance of about 1.8m above the sleep bed.
They were able to identify sleep apnea states with reasonable accuracy.