Technology
MIT researchers use radio signals to detect everyday household activities – Engadget
The RF-Diary can track someone’s activities while maintaining their privacy.
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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