MULTIMODAL USER IDENTIFICATION FOR NETWORK-BASED INTELLIGENT ROBOTS

Keun-Chang Kwak

Abstract

This paper is concerned with multimodal user identification based face and speaker recognition for Human-Robot Interaction (HRI) under network-based intelligent robot environments. Face and speaker recognition are frequently used in conjunction with HRI that can naturally interact between human and robot. For this purpose, we present Tensor-based Multilinear Principal Component Analysis (TMPCA) and Mel-Frequency Cepstral Coefficients-Gaussian Mixture Model (MFCC-GMM) to recognize with face images and speech signals obtained through network transmission, respectively. Furthermore, we investigate network-based multimodal user identification for the near future study. The experimental results on face and speaker database with distant-varying reveal that the presented method shows good performance in network-based intelligent robot environments.

References

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Paper Citation


in Harvard Style

Kwak K. (2011). MULTIMODAL USER IDENTIFICATION FOR NETWORK-BASED INTELLIGENT ROBOTS . In Proceedings of the 8th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO, ISBN 978-989-8425-75-1, pages 337-340. DOI: 10.5220/0003574203370340


in Bibtex Style

@conference{icinco11,
author={Keun-Chang Kwak},
title={MULTIMODAL USER IDENTIFICATION FOR NETWORK-BASED INTELLIGENT ROBOTS},
booktitle={Proceedings of the 8th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,},
year={2011},
pages={337-340},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003574203370340},
isbn={978-989-8425-75-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 8th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,
TI - MULTIMODAL USER IDENTIFICATION FOR NETWORK-BASED INTELLIGENT ROBOTS
SN - 978-989-8425-75-1
AU - Kwak K.
PY - 2011
SP - 337
EP - 340
DO - 10.5220/0003574203370340