Development of Finger Touch Position Detection System Methods Using Single Camera
Author(s) -
Shenjing Chen,
Lifeng Zhang
Publication year - 2014
Language(s) - English
Resource type - Conference proceedings
DOI - 10.12792/icisip2014.057
Subject(s) - computer vision , artificial intelligence , computer science , position (finance) , image processing , image (mathematics) , single camera , hand position , finance , economics
We propose a new image processing-based finger touch position detection sensing method using a reflected image reflected on the screen. Using single camera by image processing to detect touch position has several significant advantages: (1) Installation of camera becomes easily (2) This system can reduce the failure rate to realize maintenance free operation. (2) This approach enables easy attachment and low-cost touch sensing. The problem when using single camera is impossible to detect the depth of the finger from capture image. In order to solve this problem, we use the reflected image of the finger appears on the screen. Detecting the fingertip and the reflected image on the screen effectively, we enable to detect touch position only using single camera. In this paper, we provide concrete method to extract fingertip and reflected image, implementation details, results of evaluation experiment, and outline future works.
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