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Laser Gesture Recognition for Human Machine Interaction

Umang Keniya1 , Sarthak Kothari2 , Akash Mehta3 , Bhakti Palkar4

Section:Review Paper, Product Type: Journal Paper
Volume-4 , Issue-4 , Page no. 15-17, Apr-2016

Online published on Apr 27, 2016

Copyright © Umang Keniya, Sarthak Kothari, Akash Mehta, Bhakti Palkar . 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.

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IEEE Style Citation: Umang Keniya, Sarthak Kothari, Akash Mehta, Bhakti Palkar, “Laser Gesture Recognition for Human Machine Interaction,” International Journal of Computer Sciences and Engineering, Vol.4, Issue.4, pp.15-17, 2016.

MLA Style Citation: Umang Keniya, Sarthak Kothari, Akash Mehta, Bhakti Palkar "Laser Gesture Recognition for Human Machine Interaction." International Journal of Computer Sciences and Engineering 4.4 (2016): 15-17.

APA Style Citation: Umang Keniya, Sarthak Kothari, Akash Mehta, Bhakti Palkar, (2016). Laser Gesture Recognition for Human Machine Interaction. International Journal of Computer Sciences and Engineering, 4(4), 15-17.

BibTex Style Citation:
@article{Keniya_2016,
author = {Umang Keniya, Sarthak Kothari, Akash Mehta, Bhakti Palkar},
title = {Laser Gesture Recognition for Human Machine Interaction},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {4 2016},
volume = {4},
Issue = {4},
month = {4},
year = {2016},
issn = {2347-2693},
pages = {15-17},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=848},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=848
TI - Laser Gesture Recognition for Human Machine Interaction
T2 - International Journal of Computer Sciences and Engineering
AU - Umang Keniya, Sarthak Kothari, Akash Mehta, Bhakti Palkar
PY - 2016
DA - 2016/04/27
PB - IJCSE, Indore, INDIA
SP - 15-17
IS - 4
VL - 4
SN - 2347-2693
ER -

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Abstract

Proposed is an application that gives visual commands to the computer without touching the keyboard or mouse for performing certain actions. This puts together a simple laser gesture recognition application and used it to control Windows Media Player and Microsoft PowerPoint. This is far more comfortable than using a remote control because you don't have to look for the correct buttons in the dark. All you have to do is to make a few simple gestures anywhere in the camera's field of view with a laser pointer.

Key-Words / Index Term

Laser spot detection, Gesture Recognition

References

[1] Aryuanto Soetedjo, Ali Mahmudi, L. L., “Detecting Laser spot in shooting simulation using an embedded camera”, Int. Journal of Smart Sensing and Intelligent Systems, Volume-07, Issue-01, March 2014.
[2] ByungMoo Jeon, “Hardware architecture for detecting laser point using FPGA”, Int. Conference on Control, Automation and Systems, Page No (199-203), October 2012.
[3] Xingyan Li, “Gesture Recognition Based on Fuzzy C-Means Clustering Algorithm”, April 2002.
[4] Jean-Francois Lapointe, Guy Godin, “On screen Laser spot detection for large display interaction”, IEEE International Workshop on Haptic Audio Visual Environments and their applications, Page No (72-76), October 2005.
[5] Darren Phi Bang Dang, “Template Based Gesture Recognition”, June 1996.
[6] Khushboo Arora, Shrutika Suri, Divya Arora and Vaishali Pandey, “Gesture Recognition Using Artificial Neural Network”, Int. Journal of Computer Sciences and Engineering, Volume-02, Issue-04, Page No (185-189), April 2014.