摘要
Dear Editor, Human activity recognition(HAR) using WiFi signals has been a significant task due to its potential applications in for example,healthcare services and smart homes. This letter deals with the WiFi channel state information(CSI)-based HAR task. To capture the dynamics of human activities well from CSI without using a huge number of training samples.
基金
supported by the National Key Research and Development Project of China(2019YFB1312000)
the Fundamental Research Funds for the Central Universities(AUGA5710011522)。
