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Conference Paper Multimodal User Identification in a Intelligent Robot Environment
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Authors
Kyu-Dae Ban, Keun-Chang Kwak, Ho-Sub Yoon, Yun-Koo Chung
Issue Date
2007-10
Citation
International Conference on Control, Automation and Systems (ICCAS) 2007, pp.1172-1177
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/ICCAS.2007.4406511
Project Code
07MI1100, Embedded Component Technology and Standardization for URC, Hwang Dae Hwan
Abstract
The attempt to recognize a user through the single recognition expert like the face recognition and speaker recognition is actively comprised. But these single recognition techniques are difficult to cover the user recognition perfectly since the real environment in which a robot is positioned include the variations of the illumination and noise, and etc. In this paper, the fusion technique using face and speaker information is proposed. The proposed approach is concerned with the aggregation of the individual classifiers by means of the fuzzy integral. This stage includes two steps such as (a) the determination of the fuzzy sets described the classification results of each classifier, and (b) the fuzzy measure itself which reflects the relevance of the classifiers. The experimental results obtained for the ETRI-HRI databases reveal that the approach presented in this study yields better classification performance in comparison to the results produced by other classifiers and fusion methods. © ICROS.
KSP Keywords
Classification Performance, Fuzzy measure, Intelligent Robot, Real environment, User Identification, User recognition, face recognition, fusion method, fusion technique, fuzzy integral(FI), fuzzy set