Concerned about the high cost of the most complete commercial solutions, Pamplona et al. propose a new input device: an image-based data glove (IBDG). By attaching a camera to the hand of the user and a visual marker to each finger tip, they use computer vision techniques to estimate the relative position of the finger tips. Once they have information about the tips, they apply inverse kinematics techniques in order to estimate the position of each finger joint and recreate the movements of the fingers of the user in a virtual world. Adding a motion tracker device, one can also map pitch, yaw, roll and XYZ-translations of the hand of the user, (almost) recreating all the gesture and posture performed by the hand of the user in a low cost device.