3D Gesture Recognition Based Wireless control System

Gesture-based interfaces, in which the user specifies commands by simple freehand drawings, offer an alternative to traditional keyboard, menu, and direct manipulation interfaces. The ability to specify objects, an operation, and additional parameters with a single intuitive gesture makes gesture-based systems appealing to both novice and experienced users. Unfortunately, the difficulty in building gesture-based systems have prevented such systems from being adequately explored. Gesture-based systems require classifiers to distinguish between the possible gestures a user may enter. In the past, classifiers have often been hand-coded for each new application, making them difficult to build, change, and maintain. A wireless data glove was developed to control a robot. Sensors mounted on the glove send signals to a processing unit, worn on the user’s forearm that translates hand postures into data. An RF transceiver, also mounted on the user, transmits the encoded signals representing the hand postures and dynamic gestures to the robot via RF link.