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ELECTRONIC DEVICE FOR RECOGNITION OF MENTAL BEHAVIORAL ATTRIBUTES BASED ON DEEP NEURAL NETWORKS
ELECTRONIC DEVICE FOR RECOGNITION OF MENTAL BEHAVIORAL ATTRIBUTES BASED ON DEEP NEURAL NETWORKS
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机译:基于深层神经网络的心理行为属性识别电子设备
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摘要
An electronic device that handles recognition of mental behavioral, affect, emotional, mental states, mental health, or mood-based attributes based on deep neural networks (DNNs), stores a set of EEG signals and a set of bio-signals associated with a subject. The electronic device trains a plurality of first recognition models on a training set of EEG signals and a training set of bio-signals associated with different training subjects. The electronic device trains a second recognition model on a feature vector from output layers of the plurality of first recognition models. The electronic device estimates a plurality of dependency or relationship data by application of the trained plurality of first recognition models on the set of EEG signals and bio-signals. The electronic device identifies a mental behavioral attribute of the subject by application of the trained second recognition model on the plurality of signals and their relationship data.
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