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DOI: 10.14569/IJACSA.2012.031234
PDF

Performance Comparison of Gender and Age Group Recognition for Human-Robot Interaction

Author 1: Myung Won Lee
Author 2: Keun-Chang Kwak

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 3 Issue 12, 2012.

  • Abstract and Keywords
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Abstract: In this paper, we focus on performance comparison of gender and age group recognition to perform robot’s application services for Human-Robot Interaction (HRI). HRI is a core technology that can naturally interact between human and robot. Among various HRI components, we concentrate audio-based techniques such as gender and age group recognition from multichannel microphones and sound board equipped with robots. For comparative purposes, we perform the performance comparison of Mel-Frequency Cepstral Coefficients (MFCC) and Linear Prediction Coding Coefficients (LPCC) in the feature extraction step, Support Vector Machine (SVM) and C4.5 Decision Tree (DT) in the classification step. Finally, we deal with the usefulness of gender and age group recognition for human-robot interaction in home service robot environments.

Keywords: gender recognition; age group recognition; human-robot interaction.

Myung Won Lee and Keun-Chang Kwak, “Performance Comparison of Gender and Age Group Recognition for Human-Robot Interaction ” International Journal of Advanced Computer Science and Applications(IJACSA), 3(12), 2012. http://dx.doi.org/10.14569/IJACSA.2012.031234

@article{Lee2012,
title = {Performance Comparison of Gender and Age Group Recognition for Human-Robot Interaction },
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2012.031234},
url = {http://dx.doi.org/10.14569/IJACSA.2012.031234},
year = {2012},
publisher = {The Science and Information Organization},
volume = {3},
number = {12},
author = {Myung Won Lee and Keun-Chang Kwak}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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