The invention discloses a
relative motion trajectory tracking-based Wi-Fi
gesture recognition method. The method comprises the following steps of: firstly, detailedly analyzing an error source included in a phase of
channel state information (CSI) obtained by a
system, and completing error
elimination by utilizing estimated values of a slope and an intercept; secondly, putting forward a new data fusion-based iterative interference suppression
algorithm by utilizing the error eliminated
channel state information so as to complete
interference elimination of reflected signals and direct signalsbetween a
transmitter and a
receiver; thirdly, capturing signals reflected by a motion gesture by the
system on the basis of interference suppression, constructing a
virtual antenna array by utilizingcontinuous time signals received in a
time domain, estimating wave incoming directions of the signals by utilizing a two-dimensional space smooth MUSIC
algorithm, and reconstructing a motion trajectory of the gesture; and finally, completing
gesture recognition by utilizing a
Gaussian kernel-based
support vector machine classifier according to the reconstructed motion trajectory. Experiments andanalysis results prove that the iterative interference suppression
algorithm is capable of effectively suppressing interference signals, and a
virtual array technology is put forward, so that overheads of reception-end antennas can be greatly decreased on the basis of improving the resolution and then the reconstruction of gesture motion trajectories is completed; and meanwhile, the method is notonly capable of completing single-hand
gesture recognition, but also capable of correctly completing double-hand gesture recognition, and can better satisfy the requirement for gesture recognition inman-
machine interaction.