Ebook: Biometric ID Management and Multimodal Communication: Joint COST 2101 and 2102 International Conference, BioID_MultiComm 2009, Madrid, Spain, September 16-18, 2009. Proceedings
- Tags: Biometrics, Pattern Recognition, Computer Imaging Vision Pattern Recognition and Graphics, Image Processing and Computer Vision, Information Storage and Retrieval, Artificial Intelligence (incl. Robotics)
- Series: Lecture Notes in Computer Science 5707 Image Processing Computer Vision Pattern Recognition and Graphics
- Year: 2009
- Publisher: Springer-Verlag Berlin Heidelberg
- Edition: 1
- Language: English
- pdf
This book constitutes the research papers presented at the Joint 2101 & 2102 International Conference on Biometric ID Management and Multimodal Communication.
BioID_MultiComm'09 is a joint International Conference organized cooperatively by COST Actions 2101 & 2102. COST 2101 Action is focused on "Biometrics for Identity Documents and Smart Cards (BIDS)", while COST 2102 Action is entitled "Cross-Modal Analysis of Verbal and Non-verbal Communication".
The aim of COST 2101 is to investigate novel technologies for unsupervised multimodal biometric authentication systems using a new generation of biometrics-enabled identity documents and smart cards.
COST 2102 is devoted to develop an advanced acoustical, perceptual and psychological analysis of verbal and non-verbal communication signals originating in spontaneous face-to-face interaction, in order to identify algorithms and automatic procedures capable of recognizing human emotional states.
This book constitutes the research papers presented at the Joint 2101 & 2102 International Conference on Biometric ID Management and Multimodal Communication.
BioID_MultiComm'09 is a joint International Conference organized cooperatively by COST Actions 2101 & 2102. COST 2101 Action is focused on "Biometrics for Identity Documents and Smart Cards (BIDS)", while COST 2102 Action is entitled "Cross-Modal Analysis of Verbal and Non-verbal Communication".
The aim of COST 2101 is to investigate novel technologies for unsupervised multimodal biometric authentication systems using a new generation of biometrics-enabled identity documents and smart cards.
COST 2102 is devoted to develop an advanced acoustical, perceptual and psychological analysis of verbal and non-verbal communication signals originating in spontaneous face-to-face interaction, in order to identify algorithms and automatic procedures capable of recognizing human emotional states.