Hand Motion Controlled Robotic Arm
Hand Motion Controlled Robotic Arm report
Abstract: In today’s world,most of all sectors, the work is done by robots or robotic arm having different numberof degree of freedoms (DOF’s) as per the requirement. The idea is to change a perception of remote controls for actuating manually operated Robotic-Arm. Well, this paper presents a thought and a way to eradicate the buttons, joysticks and replace them with some of the more intuitive technique that is, controlling the complete Robotic Arm by the operators hand gesture. The proposed electronics system recognizes a particular hand gesture that will be performed in front of webcam & transmitted respected signals wirelessly through RF module. Depending on the received signals the robotic arm which is followed by AVR microcontroller performs the receptive motions at the receiver section.In this paper we propose a real-time non-invasive hand tracking and gesture recognition system and divide our method in three steps. First step is hand segmentation where the image region that contains the hand has to be located. In order to make this process it is possible to use shapes, but they vary greatly during the natural motion of human hand. For such method, we choose skin-colour as the hand feature. The skin-colour is a distinctive cue of hands and it is invariant to scale and rotation. The next step is to track the position and orientation of the hand to prevent errors in the segmentation phase. We use a pixel-based tracking for the temporal update of the different hand state. In the last step we use the estimated hand state to extract several hand features to define a deterministic process of gesture.