Open Access   Article Go Back

Ultra low Cost Interactive Whiteboard using Computer Vision Techniques: A Review

Sunny Deep Basumatary1 , Kishore Kashyap2

Section:Review Paper, Product Type: Journal Paper
Volume-7 , Issue-5 , Page no. 1865-1869, May-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i5.18651869

Online published on May 31, 2019

Copyright © Sunny Deep Basumatary, Kishore Kashyap . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

View this paper at   Google Scholar | DPI Digital Library

How to Cite this Paper

  • IEEE Citation
  • MLA Citation
  • APA Citation
  • BibTex Citation
  • RIS Citation

IEEE Style Citation: Sunny Deep Basumatary, Kishore Kashyap, “Ultra low Cost Interactive Whiteboard using Computer Vision Techniques: A Review,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.5, pp.1865-1869, 2019.

MLA Style Citation: Sunny Deep Basumatary, Kishore Kashyap "Ultra low Cost Interactive Whiteboard using Computer Vision Techniques: A Review." International Journal of Computer Sciences and Engineering 7.5 (2019): 1865-1869.

APA Style Citation: Sunny Deep Basumatary, Kishore Kashyap, (2019). Ultra low Cost Interactive Whiteboard using Computer Vision Techniques: A Review. International Journal of Computer Sciences and Engineering, 7(5), 1865-1869.

BibTex Style Citation:
@article{Basumatary_2019,
author = {Sunny Deep Basumatary, Kishore Kashyap},
title = {Ultra low Cost Interactive Whiteboard using Computer Vision Techniques: A Review},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2019},
volume = {7},
Issue = {5},
month = {5},
year = {2019},
issn = {2347-2693},
pages = {1865-1869},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4496},
doi = {https://doi.org/10.26438/ijcse/v7i5.18651869}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i5.18651869}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4496
TI - Ultra low Cost Interactive Whiteboard using Computer Vision Techniques: A Review
T2 - International Journal of Computer Sciences and Engineering
AU - Sunny Deep Basumatary, Kishore Kashyap
PY - 2019
DA - 2019/05/31
PB - IJCSE, Indore, INDIA
SP - 1865-1869
IS - 5
VL - 7
SN - 2347-2693
ER -

VIEWS PDF XML
339 386 downloads 162 downloads
  
  
           

Abstract

Whiteboard has played a vital role in our education system, teachers have been using this prop to deliver the daily knowledge capsules using presentations, slide after slide, which has surely left the dusty old chalkboard at par. This whiteboard also allows presenters the ease of annotating as they continue with the slides by using marker and stuff. But this practice has been revolutionized since the introduction of touch sensitive interactive panel. The classes become more interesting and involvement of students grow stronger, the presenters hold a better control on delivering a good session. But unfortunately, it is not accessible to all due to the cost of these fancy boards, which does not help the mass. Since the usage of whiteboard has emerged as a smart classroom property and adopted by various digitally sound organizations, it is therefore in need of cost effective smarter interactive display. Therefore, in this review, the objective is to identify minimal cost of installation of an interactive whiteboard or means to achieve this ideal system preferably with the help of Computer Vision (a trending perception realistic technology in minimizing cost).

Key-Words / Index Term

Computer vision, Image processing, IWBS, Camera, Infrared light

References

[1] Alexander Mordvintsev & Abid K. “Image processing in OpenCV”, 2014.
[2] Dalbir Singh, Ridha Omar and Azfar Anuar, “Low Cost Interactive Electronic Whiteboard Using Nintendo Wii Remote”, American Journal of Applied Sciences, Vol.-7 Issue- 11, pp. 1458-1463. 2010.
[3] Cxetin G, Bedi R and Sandler S “Multitouch technologies”. NUI Group, no publisher, 2009
[4] Oliphant, T. E. “Python for Scientific Computing”. Computing in Science & Engineering, Vol.-9, Issue- 3, pp. 10–20, 2007.
[5] Tosuntaş, Ş. B., Karadağ, E., & Orhan, S. “The factors affecting acceptance and use of interactive whiteboard within the scope of FATIH project: A structural equation model based on the Unified Theory of acceptance and use of technology”. Computers & Education, Vol.-81, pp. 169–178. 2015.
[6] Kellerman, A., Gurusinghe, N., Ariyarathna, T., & Gouws, R. “Smart whiteboard for interactive learning”. 2018 IEEE International Conference on Industrial Electronics for Sustainable Energy Systems (IESES). 2018.
[7] Rautaray, S. S., & Agrawal, A. “Vision based hand gesture recognition for human computer interaction: a survey”. Artificial Intelligence Review, Vol.-43(1), pp. 1–54. 2012.
[8] Lee, J. C. “Hacking the Nintendo Wii Remote”. IEEE Pervasive Computing, Vol.-7(3), pp. 39–45. 2008.
[9] Zhang, S., He, W., Yu, Q., & Zheng, X. “Low-cost interactive whiteboard using the Kinect”. International Conference on Image Analysis and Signal Processing. 2012.
[10] Dai, J., & Chung, C.-K. R. “Touchscreen Everywhere: On Transferring a Normal Planar Surface to a Touch-Sensitive Display”. IEEE Transactions on Cybernetics, Vol.-44(8), pp. 1383–1396. 2013.
[11] Şimşek, S., & Durdu, P. O., “Developing an Interactive Learning Environment with Kinect”. Communications in Computer and Information Science, pp. 150–155. 2014
[12] Amano, T., “Projection Center Calibration for a Co-located Projector Camera System”. 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops. 2014
[13] Yucel, K., Orhan, N., Misirli, G., Bal, G., & Sahin, Y. G. “An improved interactive whiteboard system: A new design and an ergonomic stylus”, 2nd International Conference on Education Technology and Computer. Vol.-3 pp. 148-152. 2010
[14] M.K. Bhuyan, D.R. Neog, M.K. Kar, “Fingertip detection for hand pose recognition”, International Journal of Computer Sciences and Engineering. Vol.-4, Issue-3, pp. 501–511, 2012.
[15] Manne Vamshi Krishna, Gopu Abhishek Reddy, B. Prasanthi and M. Sreevani, “Green Virtual Mouse Using OpenCV”, (IJCSE) International Journal of Computer Sciences and Engineering, Vol.-7, Issue-4, April 2019