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keywords=pose, rfpose, pose estimation, human pose estimation, radio signals, wireless signals, deep learning, machine learning;
description=Through-Wall Human Pose Estimation Using Radio Signals;

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through wall human pose estimation using radio signals rf pose home video paper more through wall human pose estimation using radio signals mingmin zhao tianhong li mohammad abu alsheikh yonglong tian hang zhao antonio torralba dina katabi massachusetts institute of technology overview rf pose provides accurate human pose estimation through walls and occlusions it leverages the fact that wireless signals in the wifi frequencies traverse walls and reflect off the human body it uses a deep neural network approach that parses such radio signals to estimate 2d poses rf pose is trained using state of the art vision model to provide cross modal supervision once trained rf pose uses only the wireless signal for pose estimation experimental results show that when tested on visible scenes the radio based system is almost as accurate as the vision based system used to train it yet unlike vision based pose estimation the radio based system can estimate 2d poses through walls despite never trained on such scenarios video paper through wall human pose estimation using radio signals mingmin zhao tianhong li mohammad abu alsheikh yonglong tian hang zhao antonio torralba dina katabi computer vision and pattern recognition cvpr 2018 pdf talk coming soon also check out rf based 3d skeletons m zhao y tian h zhao m alsheikh t li r hristov z kabelac d katabi and a torralba acm sigcomm 2018 learning sleep stages from radio signals a conditional adversarial architecture m zhao s yue d katabi t jaakkola and m bianchi international conference on machine learning icml 2017 emotion recognition using wireless signals m zhao f adib and d katabi acm international conference on mobile computing and networking mobicom 2016 massachusetts institute of technology