A New Method Design for Multi-modal Depression Auxiliary Diagnosis from Perspective of Psychology

Authors

  • XiaoYong LU School of Psychology, Northwest Normal University, Lanzhou,China Author
  • DaiMin SHI College of Physics and Electronic Engineering, Northwest Normal University, Lanzhou,China Author

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

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