These days many people are pretty open about themselves in social media, sharing intimate thoughts, activities, and passions. This is often done with tablets and smartphones that have cameras facing the user. Researchers at University of Rochester are using the built-in cameras and special software to watch people’s faces as they use the devices and are able to get a general idea of the mental state of the subjects.
The technology is totally passive to the user, requiring no input or self-assessment. The camera is able to detect the blinking rate, head movement, size of pupils, and even the heart rate by just watching a person’s face. This data is cross correlated to tweets, posts, and other online social activity to actually confirm how the person is feeling. At the AAAI Conference on Artificial Intelligence in Austin, Texas this week the researchers behind the project will be presenting the system and showing off the results of a study with 27 participants.
Paper presented at the AAAI Conference on Artificial Intelligence in Austin, Texas: Tackling Mental Health by Integrating Unobtrusive Multimodal Sensing…
U of Rochester: New app would monitor mental health through “selfie” videos, social media…
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