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Emotion based Music Retrieval for Gesture Recognition

by G. Deepa, G. Bhaskar Phani Ram
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 78 - Number 14
Year of Publication: 2013
Authors: G. Deepa, G. Bhaskar Phani Ram
10.5120/13590-1332

G. Deepa, G. Bhaskar Phani Ram . Emotion based Music Retrieval for Gesture Recognition. International Journal of Computer Applications. 78, 14 ( September 2013), 11-16. DOI=10.5120/13590-1332

@article{ 10.5120/13590-1332,
author = { G. Deepa, G. Bhaskar Phani Ram },
title = { Emotion based Music Retrieval for Gesture Recognition },
journal = { International Journal of Computer Applications },
issue_date = { September 2013 },
volume = { 78 },
number = { 14 },
month = { September },
year = { 2013 },
issn = { 0975-8887 },
pages = { 11-16 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume78/number14/13590-1332/ },
doi = { 10.5120/13590-1332 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:51:33.655051+05:30
%A G. Deepa
%A G. Bhaskar Phani Ram
%T Emotion based Music Retrieval for Gesture Recognition
%J International Journal of Computer Applications
%@ 0975-8887
%V 78
%N 14
%P 11-16
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Emotion based music retrieval is a music player based on user's emotion. Many music devices and mobile music players are used to listen to music. A practical problem is selection of desired music. Nowadays many devices are integrated with cameras. This paper gives how to take advantage of these one camera systems. In this proposed system emotion is derived automatically from hand gestures where hand gestures are captured by camera. The data recorded from hand gestures are coupled with musical emotion. Users can search through music collection based on emotional character of music which expressed from hand gestures. The main aim of this project is to design emotion based user interface for music retrieval. The algorithms were implemented in the system using C++. The system uses the Intel OpenCV library for image processing. This paper is implemented by using ARM9 micro controller. The camera is connected to the controller through USB device. The micro- controller is connected to PC through serial communication. The controller processes the information and monitors the results as controlled songs on PC.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Gesture Recognition Human Computer Interface Music Retrieval Image Processing Emotion Recognition OpenCV.

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