Biometric Data in Smart Cities: Methods and Models of Collective Behavior

This book discusses methods for processing biometric information in a smart city environment, including biometric multisensor networks, parallel shift technology, and Radon transformation on cellular automata. It also describes methods of biometric identification by gait parameters and the geometric shape of the auricle, as well as a method for tracking dynamic changes in the state of a smart city in real time. The book is intended for undergraduate, graduate students, and specialists in biometric information processing and distributed intelligent systems.

Format: Hardback
Length: 214 pages
Publication date: 19 July 2021
Publisher: Taylor & Francis Ltd

In the modern landscape of developing intelligent systems to address the challenges of smart cities, there is a growing emphasis on constructing distributed intelligent systems. These systems, built upon a network of sensors and specialized calculators, provide real-time assistance to residents and visitors alike in solving a diverse array of complex problems that arise within urban environments.

Within the realm of smart cities, significant attention is given to the processing of biometric information derived from biometric sensors strategically placed throughout the city. These biometric systems are highly versatile, enabling the monitoring of a person's overall health and facilitating their navigation within the city. Moreover, they possess the ability to predict events within the city, enhancing the overall safety and convenience of its inhabitants.

This book delves into methods for processing biometric information within the context of a smart city environment. It explores the theoretical foundations of building a unified urban biometric community, emphasizing the role of biometric multisensor networks. The theoretical underpinnings of parallel shift technology and the Radon transformation on cellular automata with a hexagonal covering are presented, providing the basis for developing effective biometric identification techniques.

Specifically, the book describes methods for biometric identification based on gait parameters and the geometric shape of the auricle. These methods find extensive application in smart cities, as they can accurately distinguish individuals and provide secure access control. Additionally, the book considers a method for tracking dynamic changes in the state of a smart city in real time, employing models of behavior of living organisms, their formation, movement, and interaction.

Furthermore, the book explores the technology of cellular automata with active cells, which is utilized to model the behavior of colonies of living organisms. Models of colony formation, movement, and interaction are described, shedding light on the complex dynamics of urban ecosystems. Models of active cell behavior in encountering unwanted cells and models of combining and destroying active cell colonies are also presented, contributing to a comprehensive understanding of smart city behavior.

This book is designed to cater to undergraduate, graduate, and professional students interested in the field of intelligent systems and smart cities. It offers a comprehensive and up-to-date exploration of the latest developments in biometric information processing, providing valuable insights into the future of urban computing and smart city management.

Weight: 490g
Dimension: 160 x 241 x 20 (mm)
ISBN-13: 9780367650247