Arm-pointing gesture interface using surrounded stereo cameras system

We propose an interface achieved using surrounding stereo cameras as a method of independently recognizing the intentional arm-pointing gestures of several users. The stereo cameras provide depth information maps in real time with resulting robustness against the influence of changes in lighting and users´ clothing. Utilizing this, we developed a method capable of sensing intentional arm-pointing gestures that ignored unconscious arm-pointing gestures. This interface does not depend on the user´s position, direction, or posture. We placed four stereo cameras in four corners of the ceiling and used this method in various lighting environments. We evaluated the arm-pointing gestures of seven subjects at multiple points and obtained reliable accuracy. Furthermore, we applied this method to the arm-pointing gesture interface of home electronics appliances using Bluetooth.