The invention relates to a building indoor learning efficiency detection method and system. The method comprises the following steps: S1, acquiring electroencephalogram signal data; S2, preprocessingthe acquired electroencephalogram signal data; S3, extracting energy features of the preprocessed electroencephalogram signals under different electrode channels through features; and S4, taking the energy features under corresponding electrode channels of the feature extraction as input features, and inputting the input features into a BP neural network to realize classification of learning attention. Energy features of the electroencephalogram signals under different electrode channels are extracted through features, and are taken as input features of a subsequent classifier, and the attention state of a learner is accurately reflected; accurate classification of electroencephalogram signals is realized; and accurate, stable and reliable measurement of the concentration degree of the attention electroencephalogram signals is realized, and wide influence is generated on attention action mechanisms in human brains in psychology and neurophysiology.
Building indoor learning efficiency detection method and system