Compliments of Ray Hammond again!  I love this one!  (Follow him here — @hammondfuturist )
A team of researchers at the University of Rochester has developed a computer program that can help health professionals monitor a person`s mental health through the images from selfie videos the patient records while engaging in social media activity.
The method is a variation of existing health monitoring programs. The novelty here is that the user’s behavior. can be monitored quietly and unobtrusively while they routinely use their computer or smartphone. No extra information about how the user is feeling needs to be provided. No special accessories are required, either. The user just needs to go about their computer routine as usual.
During its experiments, the team, successfully measured a user’s heart rate simply by monitoring small changes in the patient’s forehead color.  Other visual signals could be extracted, such as blinking rate, eye pupil radius and head movement rate, from the video data, all of this using modern computer vision and signal processing techniques.