Building on learnings from a 3D geometric machine-learning algorithm his team used to greatly improve the accuracy of predictions, Dr. Dunn and his team are now working on adaptive recurrent image sampling (ARIS) that combines images from multiple cameras to build a model that can measure and predict body position on many scales, even when a part (such as an arm or foot) isn't directly visible.
Iyada oo laga dhisayo barashada mashiinka mashiinka-barashada mashiinka joometeri-ga 3D ee kooxdiisu u adeegsan jirtay inay si weyn u wanaajiso saxnimada saadaasha, Dr. Dunn iyo kooxdiisu waxay hadda ka shaqeynayaan sampling image-ka soo noqnoqda ee la-qabsiga (ARIS) oo isku dara sawirrada kamaradaha badan si ay u dhisaan moodel wuxuu qiyaasi karaa oo saadaalin karaa booska jirka ee miisaanka badan, xitaa marka qayb (sida cudud ama lug) aan si toos ah loo arki karin.