MIT’s WiGait uses wireless signals to step up detection of health issues
Professor Dina Katabi's endlessly inventive team at MIT's CSAIL outfit has now come up with what it says is an unobtrusive way to wirelessly detect possible health issues via changes in walking speed.The Computer Science and Artificial Intelligence Laboratory (CSAIL) claims its WiGait system is more accurate than wearables like FitBits and smartphone-based step trackers, and they outline the technology in a new paper titled "Extracting Gait Velocity and Stride Length from Surrounding Radio Signals" to be presented at the ACM Conference on Human Factors in Computing Systems. The researchers claim WiGait, a wall-mounted device described as being the size of a small painting, is 95% to 99% accurate at measuring walking speeds of multiple people and requires no wearable gear on its targets.To read this article in full or to leave a comment, please click here
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