Abstract
In this paper, a new method of dynamic posture recognition using Wi-Fi signal based on empirical mode decomposition (EMD) is proposed. Totally different from computer vision approach and traditional sensor-based approach, the proposed novel posture recognition method does not require line-of-sight and sensors placed in the body. Furthermore, it has no effect on the quality of communication. The experiment show that, by recomposing the decomposition signal and extracting the features, nine predefined dynamic body postures can be effectively recognized, with an average recognition accuracy of 92.4%. This method increases by nearly 5%, compared with the method which has no decomposition of the signal and just extracts features. This accuracy is robust to the presence of other interfering humans.
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