Wireless Router Home Best Wireless Router 2015 Reviews and Comparison

Devices capable of recognizing human gestures via WiFi in development

http://s01.s3c.es/imag/_v0/225x250/8/0/a/wifi.JPGResearchers have developed a system capable of detecting and recognizing human gestures using WiFi signals. Unlike systems based in visual gesture recognition, like Kinect, systems with this new technology will allow the user to control several different appliances and devices, such as a TV, a refrigerator or a video game console, simply with a hand gesture from anywhere in the house.

Gesture recognition systems have truly been a revolution in the entertainment industry. These kinds of systems, such as Microsoft’s Kinect, allow the user to play video games without a controller, since the player’s body acts as one. Now, with Microsoft’s new console, the Xbox One, Kinect will play a much bigger role, since it’s not only used for video games, but it can also control the console’s different apps, like the TV.

These systems use a camera to visually detect the user. However, researchers from the University of Washington’s Computer Science Department have developed a new system to detect and recognize human gestures using WiFi signals.

According to the BBC, the system known as Wisee will be an alternative to systems like Kinect. Wisee is capable of detecting several different gestures from any room in the house, allowing you to, for example, control the air conditioner temperature or change the song playing in the living room while you are in the kitchen. 

To achieve this, the researchers have experimented with the Doppler Effect, the change of wavelenght caused by the movement of a sound’s source. The team has stated that a wireless router can be used to detect changes in WiFi signals, related to electromagnetic waves, as they reflect the movement of the human body.

By using a specially designed software algorithm, the researchers said they were able to distinguish between nine different kinds of movements, including a ‘pushing’ motion, a slap motion, a circular hand motion and a kick.
To show off the system, the team carried out some tests inside an office and a two-bedroom apartment. According to the team, out of the 900 gestures that were analyzed, the system was capable of correctly identifying 849, which means it has a precision rate of 94 %.

Also, to prevent the system from performing an unwanted task, or even to avoid the risk of being hacked, the team suggested a password system which would make the user repeat a preset sequence of gestures four times before the device can be operated.

"Unlike other facial and movement recognition systems, like Kinect, Leap Motion or MYO, WiSee does not require a camera infrastructure nor any other kind of device or instalation. WiSee doesn’t need to change any rule", said the researchers. “You can control the whole house with a single device: Your wireless router.”

Leave a Reply

Your email address will not be published. Required fields are marked *

Post Navigation