We propose a deep learning based framework that learns data-driven temporal priors to perform 3D human pose estimation from six body worn Magnetic Inertial Measurement units sensors.Our work estimates 3D human pose with associated uncertainty from sparse body worn sensors.We derive and implement a 3D angle representation that eliminates yaw angle (
Recent studies suggested that at least some of the Spirulina observed SNe Ia originate from the double-degenerate model, which involves the merging of double carbon-oxygen white dwarfs (CO WDs).However, the delay time distributions predicted by previous theoretical studies are inconsistent with the observed SNe Ia at the early epoches of 8 Gyr.Prev
It is well known that victims of violence are more likely than non-victims to be perpetrators, and that perpetrators are more likely than non-perpetrators to be victims.However, the overlap between being the victim of violence Skin and the perpetrator of violence is not well understood when it comes to online hate.An explanatory mechanism in this r
Abstract Drilling in Barents Sea proves to be a challenging task, as this region is situated in auroral zones having high geomagnetic latitude, where magnetic interferences develop from magnetic field and magnetic materials inside subsurface are quite common.For this Ceramic Ornament Gift Box region, monitoring of magnetic field is utterly signific