Overview
- Recent research in Biometric and Intelligent Decision Making Support
- Presents new multi-criteria decision-making methods for developing biometric and intelligent systems
- Written by an expert in the field
- Includes supplementary material: sn.pub/extras
Part of the book series: Intelligent Systems Reference Library (ISRL, volume 81)
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Table of contents (7 chapters)
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Front Matter
Keywords
About this book
This book presents different methods for analyzing the body language (movement, position, use of personal space, silences, pauses and tone, the eyes, pupil dilation or constriction, smiles, body temperature and the like) for better understanding people’s needs and actions, including biometric data gathering and reading. Different studies described in this book indicate that sufficiently much data, information and knowledge can be gained by utilizing biometric technologies.
This is the first, wide-ranging book that is devoted completely to the area of intelligent decision support systems, biometrics technologies and their integrations.
This book is designated for scholars, practitioners and doctoral and master’s degree students in various areas and those who are interested in the latest biometric and intelligent decision making support problems and means for their resolutions, biometric and intelligent decision making support systems and the theory and practice of their integration and the opportunities for the practical use of biometric and intelligent decision making support.
Authors and Affiliations
Bibliographic Information
Book Title: Biometric and Intelligent Decision Making Support
Authors: Arturas Kaklauskas
Series Title: Intelligent Systems Reference Library
DOI: https://doi.org/10.1007/978-3-319-13659-2
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Hardcover ISBN: 978-3-319-13658-5Published: 08 January 2015
Softcover ISBN: 978-3-319-35291-6Published: 24 September 2016
eBook ISBN: 978-3-319-13659-2Published: 26 December 2014
Series ISSN: 1868-4394
Series E-ISSN: 1868-4408
Edition Number: 1
Number of Pages: XII, 220
Number of Illustrations: 39 b/w illustrations, 8 illustrations in colour