CFP last date
20 January 2025
Reseach Article

Empowering Blind Tennis via Music

by Zainab Pirani, Pranav Kulkarni, Meer Ali Mehdi, Huzefa Nullwala, Karishma Khan, Misbah Sayyed
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 179 - Number 24
Year of Publication: 2018
Authors: Zainab Pirani, Pranav Kulkarni, Meer Ali Mehdi, Huzefa Nullwala, Karishma Khan, Misbah Sayyed
10.5120/ijca2018916437

Zainab Pirani, Pranav Kulkarni, Meer Ali Mehdi, Huzefa Nullwala, Karishma Khan, Misbah Sayyed . Empowering Blind Tennis via Music. International Journal of Computer Applications. 179, 24 ( Mar 2018), 39-42. DOI=10.5120/ijca2018916437

@article{ 10.5120/ijca2018916437,
author = { Zainab Pirani, Pranav Kulkarni, Meer Ali Mehdi, Huzefa Nullwala, Karishma Khan, Misbah Sayyed },
title = { Empowering Blind Tennis via Music },
journal = { International Journal of Computer Applications },
issue_date = { Mar 2018 },
volume = { 179 },
number = { 24 },
month = { Mar },
year = { 2018 },
issn = { 0975-8887 },
pages = { 39-42 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume179/number24/29083-2018916437/ },
doi = { 10.5120/ijca2018916437 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:56:23.495740+05:30
%A Zainab Pirani
%A Pranav Kulkarni
%A Meer Ali Mehdi
%A Huzefa Nullwala
%A Karishma Khan
%A Misbah Sayyed
%T Empowering Blind Tennis via Music
%J International Journal of Computer Applications
%@ 0975-8887
%V 179
%N 24
%P 39-42
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Lawn Tennis is one of the most popular sports all around the world. Especially, during last few years, a great deal of high-end technology is being used to follow every point of every match of the Tennis Tournaments. Unfortunately, visually challenged players cannot take the pleasure of following and playing this sport completely as they face the challenge of determining the position of the ball accurately on the court which increases their stress and anxiety levels and hence numerous players eventually give up. The training period is difficult not only for the visually-impaired players but also the coaches because the players have to be trained rigorously to determine how the ball is being hit, from where it is currently, and where the ball will land on the court. So, there is a high need for a system that makes the sport more enjoyable and less stressful for the visually-impaired people. Moreover, the existing system to play the sport of Blind Tennis makes use of sound balls, special balls that rattle when they bounce. This paper presents a comprehensive survey of Blind Tennis, the existing technologies that analyze the game and propose a system that would enable the visually-impaired people to not only play the sport but also follow the sport with enthusiasm just like general public by following every point of the match closely.

References
  1. L. Katherine, "9 Serious Eye Symptoms to Watch Out For," 28/10/2011. [Online]. Available: https://www.everydayhealth.com/vision-center/9-serious-vision-symptoms-to-watch-out-for.aspx.
  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. P. N. Druzhkov; V. L. ErukhimovN; Yu. Zolotykh; E. A. Kozinov; V. D. Kustikova; I. B. Meerov; A. N. Polovinkin, “New Object Detection Features in the OpenCV Library”, Pattern Recognition and Image Analysis, 2011, Vol. 21, No. 3, pp. 384–386.
  6. 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.
  7. 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.
  8. 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
  9. 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.
  10. 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.
  11. R. Altaha and J. M. Rhee, "Blindness support using a 3D sound system based on a proximity sensor," 2016 IEEE International Conference on Consumer Electronics (ICCE), Las Vegas, NV, 2016, pp. 51-54.
  12. D. J. Calder, "An obstacle signaling system for the blind," 5th IEEE International Conference on Digital Ecosystems and Technologies (IEEE DEST 2011), Daejeon, 2011, pp. 62-67.
  13. H. Lim, "3D Sound Reproduction by Wave Field Synthesis", Novel 3D Media Technologies, pp. 211-223, 2014.
  14. H. Naeem, J. Ahmad, and M. Tayyab, "Real-time object detection and tracking," INMIC, Lahore, 2013, pp. 148-153.
  15. 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.
Index Terms

Computer Science
Information Sciences

Keywords

Blind Tennis Object Detection and Tracking Sound Generation Computer Vision.