Yuchen Pan*
Depression constitutes a widespread global mental health disorder with far-reaching adverse impacts. In recent times, multiple methodologies have been developed that leverage facial recognition and computer vision technology to identify depression based on facial images. In this paper, the primary framework for depression recognition through facial expressions is introduced, and the key challenges inherent in this task are discussed. The contemporary concern of facial privacy in the context of depression recognition is also examined. Ultimately, the paper concludes by outlining potential future directions for facial depression recognition.
