Detecting emotional arousal from the sound of someone’s voice is one thing — startups like Beyond Verbal, , and MIT spinout are leveraging natural language processing to accomplish just that. But there’s an argument to be made that speech alone isn’t enough to diagnose someone with depression, let alone judge its severity.

Enter new research from scientists at the Indian Institute of Technology Patna and the University of Caen Normandy (“l”), which examines how nonverbal signs and visuals can drastically improve estimations of depression level. “The steadily increasing global burden of depression and mental illness acts as an impetus for the development of more advanced, personalized and automatic technologies that aid in its detection,” the paper’s authors wrote. “Depression detection is a challenging problem as

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