Design and implementation of action recognition system based on RFID sensor
He Xu, Yuan Chengcheng, Peng Li, Yizhuo Wang · 2017
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.