Deep learning for depression recognition with audiovisual cues: A review

With the acceleration of pace work and life, people are facing more pressure, which increases probability suffering from depression. However, many patients may fail to get a timely diagnosis due serious imbalance in doctor–patient ratio world. A promising development is that physiological psychological studies have found some differences speech facial expression between with depression healthy individuals. Consequently, improve current medical care, Deep Learning (DL) has been used extract representation cues audio video for automatic detection. To classify summarize such research, we introduce databases describe objective markers estimation. We also review DL methods detection video. Lastly, discuss challenges directions related diagnoses using DL.