Computer scientists at the University of Rochester have developed a software programmed into smartphones that monitor mental health through selfies.
When you think of mental health, typically you think of the different states of emotions: happiness, sadness, anger, grief, etc., or routine visits to a mental health professional.
Scientists have now developed a program that analyzes micro expression in the smartphone users face.
According to scienceagogo.com, “The researchers are able to analyze the image data to extract a number of “clues,” such as heart rate (by monitoring very small, subtle changes in the user’s forehead color), blinking rate, eye pupil radius, and head movement rate.”
“At the same time, the program also analyzed both what the users posted on Twitter, what they read, how fast they scrolled, their keystroke rate and their mouse click rate.”
Scientists are now attempting to further calibrate gathered data into differentiating negative emotions, such as anger and sadness.