Research And Application Of Finger Positioning In HIC

As a newly emerging human-computer interaction, touch technology is more and more widely used in industry, entertainment, and personal digital equipment. Because of its humance mode of operation and good using experience, touch technology is quite attractive in both professional manufacturers or common users. However, in the past, touch technology is just a simple single-touch operation and only achieve a general mouse emulation, which significantly reduced its charm. In the above background, this paper is researching on finger positon of multi-touch technology, the problems which it may faces and it gives a preliminary application example. This paper is focuses on the collection and analysis of multi-touch finger information, related to optical imaging, graphic mapping and positioning the camera intersection, and also preliminarily study the application of touch information.In general, the multi-touch technology including three aspects: First, the positioning of multiple finger points, second, the dealing with multiple finger tracking points and the third is the identification of various defined gestures. Multi-point positioning is not only the basis on the other two aspects, but also aspect on dealing with user input forms directly. Currently, there are several ways to achieve the fingers positioning, including inductance capacitance, inductive reactance, infrared ray, ultrasonic and optical imaging-based technology. This paper is based on the positioning of optical imaging technology, use ordinary CMOS camera as the image acquisition equipment, draw on the measurement methods in computer vision and using trigonometry of multiple cameras to achieve the positioning accuracy of screen surface, and also simply demonstrates the application of multi-touch with has a strong novelty and practicality.The most important and difficult in the research is correction of deformities in the image collection, to remove the false finger point, the tracking of finger point, and build the entire system. Image distortion correction is to deal with the pictures of non-ideal lens, to correct positon of the pictures, and let them matche the camera model definition. The point on removing the false finger point is to shelter the the false finger point. The track record of finger point is under gets the finger point and then records the the movement of the point, to achieve gesture recognition that is the more complex. Gesture recognition is the ultimate goal in interactive input of multi-touch, and the gesture can be used in more advanced applications. The entire system has achieved a preliminary application under these functions and modules.