A New Method Design for Multi-modal Depression Auxiliary Diagnosis from Perspective of Psychology
Abstract
Current depression diagnostic methods are subjective and single in nature. Therefore,an objective screening mechanism based on physiological and behavioral signals is needed.
Through feature extraction and fusion of multi-modal data, we propose a design idea of
combining the deep learning algorithm with classical psychological experiment technology,
which enriches the idea of depression diagnosis and provides an objective basis for clinical
diagnosis.
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Published
2020-11-23
Conference Proceedings Volume
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How to Cite
A New Method Design for Multi-modal Depression Auxiliary Diagnosis from Perspective of Psychology. (2020). International Conference on Computers in Education. https://library.apsce.net/index.php/ICCE/article/view/4032