Open Access   Article Go Back

Audio Assistance in Tennis for The Visually Disabled

Ahlam Ansari1 , Zainab Pirani2 , Shaikh Guffran3 , Sayyed Naziya Ajaz4 , Khan Junaid5

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-3 , Page no. 680-683, Mar-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i3.680683

Online published on Mar 31, 2019

Copyright © Ahlam Ansari, Zainab Pirani, Shaikh Guffran, Sayyed Naziya Ajaz, Khan Junaid . 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: Ahlam Ansari, Zainab Pirani, Shaikh Guffran, Sayyed Naziya Ajaz, Khan Junaid, “Audio Assistance in Tennis for The Visually Disabled,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.3, pp.680-683, 2019.

MLA Style Citation: Ahlam Ansari, Zainab Pirani, Shaikh Guffran, Sayyed Naziya Ajaz, Khan Junaid "Audio Assistance in Tennis for The Visually Disabled." International Journal of Computer Sciences and Engineering 7.3 (2019): 680-683.

APA Style Citation: Ahlam Ansari, Zainab Pirani, Shaikh Guffran, Sayyed Naziya Ajaz, Khan Junaid, (2019). Audio Assistance in Tennis for The Visually Disabled. International Journal of Computer Sciences and Engineering, 7(3), 680-683.

BibTex Style Citation:
@article{Ansari_2019,
author = {Ahlam Ansari, Zainab Pirani, Shaikh Guffran, Sayyed Naziya Ajaz, Khan Junaid},
title = {Audio Assistance in Tennis for The Visually Disabled},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {3 2019},
volume = {7},
Issue = {3},
month = {3},
year = {2019},
issn = {2347-2693},
pages = {680-683},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3901},
doi = {https://doi.org/10.26438/ijcse/v7i3.680683}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i3.680683}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3901
TI - Audio Assistance in Tennis for The Visually Disabled
T2 - International Journal of Computer Sciences and Engineering
AU - Ahlam Ansari, Zainab Pirani, Shaikh Guffran, Sayyed Naziya Ajaz, Khan Junaid
PY - 2019
DA - 2019/03/31
PB - IJCSE, Indore, INDIA
SP - 680-683
IS - 3
VL - 7
SN - 2347-2693
ER -

VIEWS PDF XML
190 220 downloads 88 downloads
  
  
           

Abstract

Tennis is one of the leading sports all around the world. In the past few years there has been tremendous growth in the use of high-end technology to follow every instance of every match in a Tennis Tournament. Unfortunately, the visually disabled players cannot completely enjoy following and playing the sport as they cannot determine the position of the ball precisely. This rises their stress and anxiety levels and thus many players eventually give up. Training the players and the instructors is difficult because the players need to be extensively trained to determine where is the ball currently, how is the ball being hit and where will the ball land on the court. Thus, there is a dire need for a system that makes the sport less stressful and more enjoyable. The existing systems for the visually disabled Tennis make use of special sound balls that rattle when they bounce. This paper presents a extensive survey of Tennis for the visually disabled, the existing technologies that are being used for analyzing the game and, finally, propose a system that would allow the visually disabled players to follow and play the sport with enthusiasm, just like everyone by following the match closely.

Key-Words / Index Term

Computer Vision, Internet of Things (IoT), Object detection, Object tracking, Sound Generation, Visually impaired tennis

References

[1] Pascolini D, Mariotti SPM. “Global estimates of visual impairment: 2010”, British Journal Ophthalmology Online, 1 December 2011.
[2] X. Yu; C.-H. Sim; J.R. Wang; L.F. Cheong, "A trajectory-based ball detection and tracking algorithm in broadcast tennis video", IEEE International Conference on Image Processing, 2004. ICIP `04 on 24-27 Oct. 2004.
[3] M. Michalko; J. Onuška; A. Lavrín; D. Cymbalák; O. Kainz, “Tracking the object features in video based on OpenCV”, International Conference on Emerging eLearning Technologies and Applications (ICETA),2016 on 24-25 Nov. 2016.
[4] Nicholas J. Butko; Javier R. Movellan, "Optimal scanning for faster object detection", IEEE Conference on Computer Vision and Pattern Recognition, 2009. CVPR 2009 on 20-25 June 2009.
[5] Won Jin Kim; In-So Kweon, “Moving object detection and tracking from moving camera”, 8th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), 2011 23-26 Nov. 2011.
[6] Ivan Culjak; David Abram; Tomislav Pribanic; Hrvoje Dzapo; Mario Cifrek, “A brief introduction to OpenCV”, Proceedings of the 35th Convention International on MIPRO, 2012 21-25 May 2012.
[7] Kari Pulli; Anatoly Baksheev; Kirill Kornyakov; Victor Eruhimov, “Real-time computer vision with OpenCV”, Magazine Communications of the ACM, Volume 55 Issue 6, June 2012, pp. 61-69
[8] S. Prasad and S. Sinha, "Real-time object detection and tracking in an unknown environment," 2011 World Congress on Information and Communication Technologies, Mumbai, 2011, pp. 1056-1061.
[9] Singh, B. B. V. L. Deepak, T. Sethi and M. D. P. Murthy, "Real-time object detection and Tracking using color feature and motion," 2015 International Conference on Communications and Signal Processing (ICCSP), Melmaruvathur, 2015, pp. 1236-1241.
[10] J. Chatrath, P. Gupta, P. Ahuja, A. Goel and S. M. Arora, "Real-time human face detection and tracking," 2014 International Conference on Signal Processing and Integrated Networks (SPIN), Noida, 2014, pp. 705-710. [16] K. Bhure and J. Dhande, "Object Detection Methodologies for Blind People", International Journal on Recent and Innovation Trends in Computing and Communication, Vol. 5, No. 1, pp. 194-198, 2017.
[11] K. Bhure and J. Dhande, "Object Detection Methodologies for Blind People", International Journal on Recent and Innovation Trends in Computing and Communication, Vol. 5, No. 1, pp. 194-198, 2017.