To address the problem that the traditional human motion attitude detection process is easy to ignore the data calibration. which leads to the problems of long running time. low accuracy and poor detection effect. a human motion target attitude detection algorithm based on semi-supervised learning in the Internet of things environment is proposed. https://countryscenesaddleryandpetsuppliers.shop/product-category/hair-on-cowhide-headstall-and-breast-collar-sets/
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