2024-03-11 12:00:05
Dartmouth University research team announces development of first mobile application using artificial intelligence combined with facial image processing software to reliably detect the onset of depression even before the user realizes it.
Called MoodCapture, this application uses the front camera of the phone (The telephone is a communication system, initially designed to transmit voice…) to capture facial expressions andenvironment (The environment is everything that surrounds us. It is all the natural elements and…) of a person during regular use, then evaluates the images based on research (Scientific research primarily refers to all actions undertaken with a view to…) clinical indices 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 that the technology could be publicly available within the next five years with additional developments. The researchers, based at the Department ofComputer science (Computer science – contraction of information and automatic – is the field…) and at the School of Medicine (Medicine (from the Latin medicus, “which heals”) is the science and…) Geisel, published their findings based on pre-publication arXiv.
“This is the first time ‘free-range’ natural images have been used to predict depression,” said Andrew Campbell, professor of computer science and author of the study. MoodCapture works by capturing images of participants for 90 days without them knowing when this is happening. The photos are analyzed to detect specific facial expressions and environmental characteristics associated with depression. The application makes connections between expressions and background details important to predict the gravity (Gravitation is one of the four fundamental interactions of physics.) of depression.
The research, funded by a grant from the National Institutes of Mental Health, explores the use oflearning (Learning is the acquisition of know-how, that is to say the process…) deep and passive collection of data (In information technology (IT), data is an elementary description, often…) to detect symptoms of depression in real time. It also builds on an earlier 2012 study conducted by Campbell’s lab on passive, automatic data collection from participants’ phones. The MoodCapture app offers a promising glimpse into the future of technology to support Mental Health (Mental health is a relatively new and polysemous term. Usually…)providing continuous, non-intrusive assessment of mood, with the potential to quickly detect and treat symptoms of depression.
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