We’ve seen some great motion-tracking based technology over the past few years, but MIT has taken its research to the next level with a new project.
Called WiTrack, the technology works in a less intrusive manner than Microsoft’s Kinect tech, utilizing a wireless network and the body’s ability to bounce back radio waves.
The waves, less powerful than what you’d find in a wireless network or smartphone, transmit through a home environment, reflecting off surrounding objects. From there, they’re read through three transceivers that determine a person’s location.
To determine a person from, say, furniture, the WiTrack uses an algorithm to sift through said objects and identify a location with up to 97 percent accuracy, based on “10 to 13cm in the x and y dimension, and 21cm in the z dimension” for general movement.
You can see this process in action in the video below.