RFID，Human activity recognition
The dataset is the image data obtained after data conversion of the phases of six Chinese sign languages collected using RFID, the dataset includes the data of five people in environment 1, and also includes the data of user 1 in the previous environment, the dataset is converted into 1000×1000 pixel images to be saved in it, which is a total of 3,000 images.
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Human activity recognition (HAR) has attracted much attention. However, the existing HARs have shortcomings, such as few recognized activities, no identification, privacy leakage, and battery maintenance. Aiming at these shortcomings, this team has devised a body RFID skeleton that fully senses human activity and further proposes highly-accurate and fine-grained (total of 21 activities) HARs. The body RFID skeleton senses human activity by collecting tag response records of the skeleton node.
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