Smartphone app uses AI and facial-image processing software to reliably detect the onset of depression

Smartphone app uses AI and facial-image processing software to reliably detect the onset of depression

Dartmouth researchers report they have developed the first smartphone application that uses artificial intelligence paired with facial-image processing software to reliably detect the onset of depression before the user even knows something is wrong.

Called MoodCapture, the app uses a phone’s front camera to capture a person’s facial expressions and surroundings during regular use, then evaluates the images for clinical cues associated with depression. In a study of 177 people diagnosed with major depressive disorder, the app correctly identified early symptoms of depression with 75% accuracy.

These results suggest the technology could be publicly available within the next five years

 
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How To Detect Them And Protect Your Smartphones

How To Detect Them And Protect Your Smartphones

Rabiul Islam is a seasoned cybersecurity specialist. He is also the founder, CEO and managing director of TechForing Ltd.

Android and iOS devices dominate the mobile phone market these days. This also makes them the biggest target of cybercriminals, as someone’s phone holds way more personal data than any other electronic device.

Falling victim to a phone hack is a nightmare, and it can be even more harmful when it’s a business phone. The worst case of phone hacking is the threat actor gaining access to online accounts, such as a person’s business network, social media, email, shopping

 
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