An Application That Detects Depression with Photographs Has Been Developed

A group of scientists working at Dartmouth University in the USA has developed an interesting mobile application. “MoodCaptureThis application, called “” and powered by artificial intelligence, interacts with the selfies taken by users. whether you are depressed will make you understand. The application, which is still in the prototype stage, seems to be of critical importance for many people in the future.

The working logic of MoodCapture is similar to the camera applications we are used to. a little different. Because when using this application, you cannot take your own image whenever and wherever you want. The application takes multiple photos using the selfie camera sometimes when you unlock the screen. There’s actually a logical reason for this. Application, time by determining spontaneouslyIt prevents the user from suppressing his emotions.

So how was this application developed?

Researchers have used MoodCapture’s artificial intelligence-supported algorithm in the past. diagnosed with major depressive disorder They used data from 177 people with Participants completed an 8-item survey over 90 days. In this survey “I feel sad, depressed or hopelessitems such as “, “I agree” or “I do not agreeParticipants who gave answers such as “”, on the same day They were photographed without their knowledge.

With this method, scientists 125 thousand They have accessed as many photos as These photographs were then examined anatomically. The artificial intelligence model produced with all these was able to measure the person’s depression level. Even though it’s just in the early stages 75 percent on It is thought that MoodCapture, which has reached the accuracy level, will reach over 90 percent accuracy within five years.

It will also give recommendations to users

One of the most important features of MoodCapture is that it provides users can give advice to be. Let’s say it is determined that a user’s depression level begins to increase. The algorithm will give personalized recommendations based on the user’s situation. These recommendations will include things like getting outdoors, exercising, or socializing more with family or friends. In this way, the user will not only keep his depression level under control. Also for the regression of depression will have taken precautions.

The head of the team that developed the application Prof. Nicholas Jacobsonmade the following statements in his statement on the subject: This method recognizes the dynamic and highly individualized nature of major depressive disorder, where symptoms can vary significantly from day to day, and can work accordingly.