The invention discloses a dexterous
hand motion decoding method based on a collaborative base manifold, which comprises the following steps: acquiring electroencephalogram
signal characteristics and corresponding
hand motion data, and performing preprocessing after
time sequence alignment to obtain a training
data set; a dexterous
hand motion decoding model is constructed, and in the model, a periodic
network module maps the electroencephalogram
signal features to a phase manifold to obtain electroencephalogram features with periodic features; the
control network module extracts decoupled space-time
motion control parameters; the collaborative base recruitment module carries out decoding according to the space-time
motion control parameters to obtain corresponding hand motion; constructing total loss, and training the dexterous hand motion decoding model by using the training
data set; and extracting electroencephalogram
signal characteristics to be predicted, inputting the electroencephalogram signal characteristics to the trained dexterous hand motion decoding model, and decoding to obtain corresponding hand motion. According to the invention, more accurate and fine hand motion decoding can be realized.