Electronic device for recognition of psychobehavioral attributes based on deep neural networks

摘要

An electronic device that handles recognition of psychobehavioral attributes, emotional attributes, emotional attributes, mental state attributes, mental health attributes, or mood-based attributes based on the Deep Neural Network (DNN) is an EEG signal set and biological signal set related to the subject. Remember. The electronic device trains a plurality of first recognition models based on the EEG signal training set and the biological signal training set associated with different training subjects. The electronic device trains the second recognition model based on the feature vectors from the output layers of the plurality of first recognition models. The electronic device estimates a plurality of dependency or relationship data by applying a plurality of first recognition models trained to the EEG signal and the biological signal set. The electronic device identifies the psychobehavioral attributes of the subject by applying a trained second cognitive model to the plurality of signals and their relationship data. [Selection diagram] None