I’ve written numerous times about the growing number of sporting wearables that both capture rich data about your performances, but also then layer AI on top of that to provide you feedback and advice to help you improve.
A nice example of the way things are going comes via Carnegie Mellon researcher Pei Zhang, who has developed vibration sensors that can be fitted inside a body suit. It’s a system that Zhang refers to as the Muscle Activity Recognition System (MARS), and you can see it in action via the image below.
The system utilizes real-time motion capture and visualization tools to operate effectively in any lighting. The microsensors sewn into the suit allow for the smallest movements to be captured and measured.
“Using this body sensor suit to measure the fine grain vibrations of your body,” Zhang says, “we can find out which muscle you are activating, how hard you are activating these particular muscles, and how tired these muscles are.”
Tags: Athletics • big data • Social Business • sports • wearables