Researchers at the MIT Computer Science and Artificial Intelligence Laboratory use the power of wifi to gain one of Superman's many powers-- using the wifi-based "Wi-Vi" to detect movement through walls.

In concept Wi-Vi is similar to radar and sonar imaging, only using low-power wifi signals to track movement in closed rooms or behind a wall. The system requires 2 transmit antennas and 1 receiver, with one transmitter sending out a signal that is the inverse of the signal from the other.

Due to nulling effect, the signals from the two antennas cancel each other out when "bouncing" back after hitting static objects-- but not when reflecting off moving objects. The receiver tracks the time it takes for signals to reflect back from a moving object (such as a person in a room) and calculates where it is at any time, producing a "sort of" X-ray effect.

The Xbox One and Playstation 4 giants might have overshadowed E3 2013, but such details did not stop peripheral maker Mad Catz to announce a console of its very own-- the M.O.J.O., an interesting looking Android-powered "micro console."

While making part of a perhaps over-crowded market, the MOJO has a few features MadCatz hopes separate it from the likes of the OUYA or Nvidia SHIELD. First off, the palm-sized device runs on stock Android, allowing it to handle all games available on the Google Play app store without need for developer modification.

It also registers on existing Google Play accounts, meaning customers can transfer apps from Android smartphones or tablets to the device.

The M.O.J.O. demo unit seen at E3 2013 carries an Nvidia Tegra 3 processor, but Mad Catz promises the retail unit will ship with a more powerful chipset (namely the Tegra 4).

University of Washington researchers propose a novel gesture detection technology-- WiSee, a system using regular wifi signals instead of cameras or sensors to detect control gestures, without need for line-of-sight.

The technology measures the so-called "Doppler frequency shift" caused in wireless signal frequency by body movements. Such frequency changes are very small (several hertz compared to 5GHz wifi signals), yet UW says the technology identifies up to 9 different whole-body gestures through a clever algorithm measuring these slight shifts.

“This is repurposing wireless signals that already exist in new ways,” UW lead researcher Shyam Gollakota says. “You can actually use wireless for gesture recognition without needing to deploy more sensors.”

Glasses are not enough for Google-- the company reveals a prototype Android-powered talking shoe designed to keep wearers active with words of either encouragement or mockery.

Shown off at the South by Southwest (SXSW) 2013 conference, the "Google Shoe" consists of an Adidas sneaker with an accelerometer, gyroscope, Bluetooth radio, custom-built microcontroller and a circular speaker grafted in the tongue.

The hardware provides amusing aural feedback (such as ""if standing still was a sport, you'd be world champion" or "you've made me a very proud shoe") as per wearer movements, and pairs with Android smartphones to push further commentary on Google+ and other social media outlets.