Surface Computer

Authors

  • Sureshkumar Natarajan Assistant Professor, Department Electronics and Telecommunication, Vishwaniketan Institute of Management Entreprenuership and Engineering Technology
  • Hitesh Koli Under Graduate Student, Department Electronics and Telecommunication, Vishwaniketan Institute of Management Entreprenuership and Engineering Technology
  • Sohail B. Shaikh Under Graduate Student, Department Electronics and Telecommunication, Vishwaniketan Institute of Management Entreprenuership and Engineering Technology
  • Prathamesh Chalke Under Graduate Student, Department Electronics and Telecommunication, Vishwaniketan Institute of Management Entreprenuership and Engineering Technology

Keywords:

Fingertip Blob detection; Multi-touch surface;FTIR;TUIO protocol; Object recognition; Computer Vision

Abstract

Multi-touch surface computing is the term for the use of specialized computer in which, instead of keyboard &
mouse, the user interacts directly with a touch sensitive screen. Multi-touch system is based on touch technology that
utilizes touch sensing as an input. It exists in our daily life such as on smart phones or different types of portable devices.
However, current touch systems suffer from many limitations. Natural User Interface community has proposed numerous
methodologies to implement surface computers based on imaging touch-screens. In this paper we elucidate a blob
detection algorithm for touch sensing. The algorithm has been implemented using Community Core Vision[2].

Downloads

Published

2017-04-25

How to Cite

Sureshkumar Natarajan, Hitesh Koli, Sohail B. Shaikh, & Prathamesh Chalke. (2017). Surface Computer. International Journal of Advance Engineering and Research Development (IJAERD), 4(4), 931–936. Retrieved from https://www.ijaerd.org/index.php/IJAERD/article/view/4836

Issue

Vol. 4 No. 4 (2017): Volume 4 Issue 4 April 2017

Section

Articles