MIT develops a way to use wireless signals from in-home appliances to better understand your health

MIT develops a way to use wireless signals from in-home appliances to better understand your health

Having a holistic picture of your health might not mean just wearing a device like an Apple Watch that can monitor your biometrics — researchers at MIT’s Computer Science and Artificial Intelligence Lab (CSAIL) have developed a new system that can figure out when and where in-home appliances like hair dryers, stoves, microwaves and washing machines are being used, and they believe that info could help inform healthcare practitioners about the habits and challenges of people under their care.


The researchers devised a system called “Sapple” that uses just two sensors placed in a person’s home to determine use patterns of devices including stoves, hair dryers and more. There’s one location sensor that works using radio signals to figure out placement, with a user able to calibrate it to cover their area by simply walking the bounds of their space. A second sensor measures energy usage through the home, and combines that data with movement information to matching energy use signals with physical locations of specific applicants, to provide data both when a person is using the appliances around the house, and for how long.


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