Wifi-based human body detection method, and smart device

Abstract

The present disclosure provides a Wi-Fi based human body detection method, which includes selecting a sub-carrier data source device by a smart device, acquiring sub-carrier channel frequency responses, checking and filtering out invalid sub-carrier channel frequency responses, obtaining sub-carrier amplitudes, and grouping to obtain a plurality of datasets. Each data set is divided into multiple sub-datasets according to different parts of the sub-carrier channel frequency responses, and then for each sub-dataset, a correlation coefficient between the sub-carrier amplitudes is calculated, to obtain a human body presence detection value; a Mahalanobis distance or a Euclidean distance between the sub-carrier amplitudes is calculated to obtain a human activity detection value; in conjunction of a human activity threshold and a human presence threshold, a state of a human body sign is determined and reported to a cloud server. The present disclosure also includes a smart device for implementing the above method.