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Annual Journal of Electronics

Publication date: 2011-01
ISSN: 1314-0078
Publisher: Technical Univ. of Sofia

Author:

Baert, Jürgen
Puttemans, Steven ; Espeel, Ludovic ; Staelens, Jan

Keywords:

speaker recognition, eigenfaces, feature extraction, user identification

Abstract:

In this paper, considerations and methodology for user identification in gaming applications is discussed. Typical user identification processes operate through input devices that yield qualitative audio and video data in a controlled environment. In gaming applications, low cost hardware and uncontrolled environmental conditions pose a serious obstacle towards efficient user identification. Through a combination of several methods, including speaker recognition, facial feature extraction and the eigenface recognition approach for face recognition, a robust algorithm can be developed. Weighing the relative importance of each method leads to more robust recognition, despite the limitations associated with the application.