Application of multi-modality based on artificial intelligence feature fusion in depression recognition
Depression is a common mental disorder,and early detection and diagnosis are crucial for the prevention and treatment of depression.Artificial intelligence has been involved in the early identification and intervention of depression.In this paper,the keywords"artificial intelligence","text features","speech features","facial features","cerebral nuclear magnetic features"and"multimodal"were used for literature search from CNKI and Google Scholar respectively.Then,relevant representative literature was obtained by intensive reading combined with subject screening and retrospective method,and the application of"text feature","speech feature","facial feature","brain nuclear magnetic feature"and"multimodal"techniques in depression recognition and diagnosis was reviewed,and their advantages,disadvantages and prospects were discussed.
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