In their findings, which were released this week, the research team says that since wireless signals don’t require line-of-sight and can go through walls, WiSee enables whole-home gesture recognition without requiring users to wear any special devices or the use of cameras. The system was able to identify and classify a set of nine gestures with an average accuracy of 94 percent.
How a system like this might one day interact with a home or business full of robots is anyone’s guess, but given the relatively cheap cost of implementation — not to mention the rapidly declining price of other sensors — it seems reasonable that one day we’ll be controlling more than just video games using gestures.
Mike Davin is passionate about business and robotics. In addition to editing The Business of Robotics, he is on the advisory board for the Robotics Alley Conference & Expo. He also serves on the executive committee of AUVSI Twin Cities as communications chair. Before he covered robots, he was senior editor of Boating Industry magazine as well as online editor of its sister publication, Powersports Business.