MSU Technologies

Radar-Based Multi-Dimensional Motion Measurement for Gesture Recognition

VALUE PROPOSITION

Human Computer Interaction can improve by incorporating gesture recognition (i.e. hand movement) technology for “hands free” interaction with watches, radios, TVs, gaming systems, etc. Gesture recognition technology is more important for individuals with mobility impairment to help them control technology they otherwise are unable to utilize. When motion is detected, the sensing system programed with “gesture maps” can be linked to specific commands, i.e. changing the channel on the television or increasing the volume on a radio. Once the sensing system recognizes a specific gesture, the corresponding command is carried out. This technology offers a means to perform gesture recognition using a micro-doppler radar system.

DESCRIPTION OF TECHNOLOGY

This technology offers a solution to positional error found in traditional micro-doppler radar based human computer interaction systems, allowing for accurate identification and classification of gestures when not directly above the radar sensor. Where traditional systems have a single radar, accuracy of the system is dramatically reduced for positions. The technology utilizes compact radars. These radars transmit a signal which bounces off a hand, reflecting the signal back to the radar to detect the movement the hand is giving (left, right, up, down, etc.). Based on the signal detected by the radar, an action is triggered . By combining multiple radars, a hand movement can accurately be detected from multiple angles, rather than needing the movement to be directly above the sensor. This results in a more tolerant system to positional errors.

BENEFITS