Results: University of Virginia researchers developed a combination of in-home sensors and cloud software designed to detect signs that someone is displaying behavior consistent with depression. One home was outfitted with sensors that report on the user's sleep quality and body weight. It also registered when the person was at home and tracked movement inside the house. Software can combine the data gathered by those sensors into a "depression index" that could signal to caregivers when a person may need help to prevent or overcome an episode of depression.
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