STM Journals Peer-reviewed research from Consortium e-Learning Network

Journal of Image Processing & Pattern Recognition Progress

Color Based Human Computer Interface

  1. Karunesh Srivastava
  2. Mayuri Kulshreshtha

Abstract

The use of colored finger tips provides an attractive alternative to cumbersome interface devices for human-computer interaction (HCI). In particular, visual interpretation of colored finger tips can help in achieving the ease and naturalness desired for HCI. This has motivated a very active research area concerned with computer vision-based analysis and interpretation of hand gestures. We survey the literature on visual interpretation of colored finger tips in the context of its role in HCI. This discussion is organized on the basis of the method used for modeling, analyzing, and recognizing colors. Three finger model offers a way of more elaborate modeling of colored fingers but leads to computational hurdles that have not been overcome given the real-time requirements of HCI. Appearance-based models lead to computationally efficient “purposive” approaches that work well under constrained situations but seem to lack the generality desirable for HCI. In this paper we are discussing a simple color based human computer interface system that can be mapped to various tasks for robotic application. We discuss implemented color based human computer interface system using MATLAB. Although the current progress is encouraging, further theoretical as well as computational advances are needed before colors can be widely used for HCI. Cite this ArticleKarunesh Srivastava, Mayuri Kulshreshtha. Color Based Human Computer Interface. Journal of Image Processing & Pattern Recognition Progress. 2015; 2(2): 27–32p.

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