Biometric and Intelligent Decision Making Support

• Κύριος συγγραφέας: Kaklauskas, Arturas (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2015.
• Σειρά: Intelligent Systems Reference Library, 81
• Θέματα: Engineering.; Artificial intelligence.; Computational intelligence.; Computational Intelligence.; Artificial Intelligence (incl. Robotics).

 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. 

 Introduction to Intelligent Decision Support Systems.- Intelligent Decision Support Systems -- Passive House Model for Quantitative and Qualitative Analyses and its Intelligent System -- Biometric and Intelligent Self-Assessment of Student Progress System -- Web-based Biometric Computer Mouse Advisory System to Analyze a User's Emotions and Work Productivity -- Student Progress Assessment with the Help of an Intelligent Pupil Analysis System -- Recommender System to Analyze Student’s Academic Performance.