The invention relates to the technical field of brain-computer interfaces, and discloses a human-computer interaction
virtual keyboard input method, device and equipment based on electroencephalogram signals. The method comprises the following steps: acquiring an original electroencephalogram
time sequence and a corresponding spectrum feature, and performing
wavelet packet
decomposition on the original electroencephalogram
time sequence to obtain a multi-scale electroencephalogram
signal component; obtaining the complexity characteristic of the
wavelet coefficient; determining a key
wavelet coefficient most related to the
user input intention in the plurality of wavelet coefficients; electroencephalogram baseline features, cognitive states and complexity features of a user are obtained, and the electroencephalogram baseline features, the cognitive states and the complexity features are used for obtaining the personalized optimal intention regulation and control frequency of the user; according to the key wavelet coefficient and the optimal intention regulation frequency, reconstructing and generating an electroencephalogram intention feature sequence; performing empirical mode
decomposition on the electroencephalogram intention feature sequence to obtain a slow change component reflecting intention steady-state characteristics and a fast change component reflecting intention dynamic change; and obtaining an intention category corresponding to the user to generate a mapping relationship between the intention category and the keys of the
virtual keyboard, and generating a control instruction of the
virtual keyboard.