A review on depression detection and diagnoses based on visual facial cues

Computerized artificial intelligent machines and devices are invading all human life details rapidly. Verities of algorithms have been proposed to achieve results that can match or exceed the human results. The automatic visual facial cues based depression assessment is a fast-growing research area since it can provide help to psychiatrists and physicians in some cases when traditional other ways fail. The system has many stages, and different kinds of strategies have been used over the past years. Summarizing the previous works, going over the system stages and how the system works are needed to give a brief overview on the topic. This can provide a helpful start for researchers that tend to explore such a domain. Accordingly, the work demonstrates the topic from many aspects, touches on the general parts, and details the important associated points of it. The contribution of this paper is to make a review for the techniques used to detect depression from facial cues, as well as the established system for signal processing and extraction of features for previous studies in this field; which is new in the field of detect depression, so this review is not investigation has been done, but it's a discussion of researches that Issued and comparing the techniques utilized and proposing the best technology.