A Wi-Fi-signal-based method for identifying emotions, comprising the steps of: A1, collecting under various emotions wireless signals emitted by a Wi-Fi router; A2, extracting a channel state information (CSI) signal from the wireless signals; A3, processing CSI data, building a model, and extracting a ventricular undulation curve, an atrial undulation curve, and a breathing fluctuation curve; A4, extracting an emotional fluctuation curve for aggregation analysis; A5, identifying inner emotions by means of deep learning; A6, on the basis of the actually measured accuracy, returning to step A4 for an iterative analysis.
WI-FI-SIGNAL-BASED METHOD FOR IDENTIFYING EMOTIONS