The application discloses an electroencephalogram
signal driven adaptive storage method and
electronic equipment, and relates to the technical field of
electronic equipment, in particular to an electroencephalogram
signal driven adaptive storage method and
electronic equipment. The method comprises the following steps: acquiring first electroencephalogram
signal data and brain blood
oxygen monitoring data of a user; identifying the cognitive state of the user based on the first electroencephalogram signal data by using a first electroencephalogram signal
data identification model; when the cognitive state is a concentrated state, extracting a first
feature vector of the first electroencephalogram signal data; extracting a second
feature vector of the brain blood
oxygen monitoring data; performing cross-
modal fusion on the first
feature vector and the second feature vector to obtain a fusion feature vector, and identifying the
memory type of the user based on the fusion feature vector; and storing prompt data of the current first prompt device in a corresponding storage space based on the
memory type and a preset corresponding relationship between memory types and storage spaces. The application can adaptively store data according to the
memory type of the user, so that the prompt data storage is more in line with the cognitive characteristics and
actual use requirements of the user, and the
utilization rate of storage resources is improved.