MIT researchers use radio signals to detect everyday household activities – Engadget

The CSAIL team has already used the system in hospitals and assisted living facilities to monitor people for issues including Parkinson’s, dementia and COVID-19. The researchers have improved the system, which uses deep machine learning. It can identify activities, such as sleeping, reading, cooking and watching TV, and items like laptops. RF-Diary is accurate in classifying more than 30 household activities over 90 percent of the time, according to the researchers.
It uses a floor map of a su…

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