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Design and implementation of action recognition system based on RFID sensor

He Xu, Yuan Chengcheng, Peng Li, Yizhuo Wang

Year
2017
Citations
7

Abstract

Human action recognition is widely used in smart home, virtual training, game, human computer interaction and robots. However, most of action recognition method is based on the visual action recognition technology which data are explosive growth and those data is hardly to process in big data environment. In this paper, we use Radio Frequency Identification (RFID) technology to build the model for left, right, front and back action of human. A player system based RFID sensor is designed and implemented. The test results show that our proposed system is effective and performs well in non-visual action recognition.

Keywords

Computer scienceAction (physics)Action recognitionProcess (computing)Identification (biology)Radio-frequency identificationHuman–computer interactionRobotArtificial intelligenceComputer vision

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