Title: Weighted multi-method user identification in gaming applications
Authors: Baert, J├╝rgen ×
Puttemans, Steven
Espeel, Ludovic
Staelens, Jan #
Issue Date: 2011
Publisher: Technical Univ. of Sofia
Series Title: Annual Journal of Electronics vol:5 issue:2 pages:5-8
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.
Description: corresponding author:
ISSN: 1314-0078
Publication status: accepted
KU Leuven publication type: AT
Appears in Collections:Non-KU Leuven Association publications
× corresponding author
# (joint) last author

Files in This Item:
File Description Status SizeFormat
Weighted multi-method user identification in gaming applications.pdf Accepted 251KbAdobe PDFView/Open


All items in Lirias are protected by copyright, with all rights reserved.