Cross-domain RFID human body behavior identification method and device based on meta learning

The invention discloses a cross-domain RFID human body behavior identification method and device based on meta-learning, and the method comprises the steps: obtaining a human body behavior signal corresponding to each domain; preprocessing the human body behavior signal, generating a task sample set according to data corresponding to each domain after preprocessing, and dividing the task sample set into a support set and a query set; constructing a relation network, and inputting the support set and the query set into the relation network for training to obtain a trained human behavior recognition model, the relation network comprising an embedding module and a relation module, the embedding module being used for obtaining time-frequency features of the query sample and the support sample, and the relation module being used for obtaining time-frequency features of the query sample and the support sample; the relation module is used for identifying a corresponding matching category of the query sample in the s