Biometry: Technology, Trends and Applications

This book provides an overview of biometric technologies developed by Tecnologico de Monterrey, Mexico, covering physiological and behavioral biometrics, commercial and experimental technologies, and applications in security, military, criminology, healthcare, education, business, and marketing. It also discusses the use of mobile and home EEG in children's natural environments and the relevance of such technology in monitoring epileptic encephalopathies. Reliable physiological signal acquisition techniques and machine learning, deep learning, and Artificial Intelligence are crucial allies in the evolution of biometric systems, leading to a more concise understanding of humans.

Format: Hardback
Length: 204 pages
Publication date: 07 July 2022
Publisher: Taylor & Francis Ltd

Biometrics, as a field of study, offers quantitative representations of human characteristics, encompassing physiological and behavioral aspects. This comprehensive book serves as a compilation of biometric technologies developed by various research groups at Tecnologico de Monterrey, Mexico. It provides a comprehensive overview of biometric systems, delving into the principles underlying physiological and behavioral biometrics, while exploring a diverse range of commercial and experimental technologies. Additionally, it examines current and future applications in security, military, criminology, healthcare, education, business, and marketing.

The book showcases examples of biometric systems that utilize brain signals or electroencephalography (EEG). It explores the use of mobile and home EEG in children's natural environments, emphasizing its relevance in monitoring epileptic encephalopathies. Reliable physiological signal acquisition techniques enable the development of functional Human Machine Interfaces (HMI) and Brain-Computer Interfaces (BCI). An HMI, for instance, is presented as a tool for assistive navigation systems, controlled through voice commands, head movements, and eye gestures. A detailed description of the BCI framework is provided, along with an exploration of user-centered BCIs focused on rehabilitation, human performance, and treatment monitoring.

Massive data acquisition plays a pivotal role in the evolution of biometric systems. Machine learning, deep learning, and Artificial Intelligence (AI) emerge as crucial allies in this realm. These techniques facilitate the construction of models that assist in early diagnosis, seizure detection, and data-centered medical decisions. By employing such methods, we gain a deeper understanding of the human condition, paving the way for more concise and insightful perspectives.

Weight: 560g
Dimension: 234 x 156 (mm)
ISBN-13: 9780367702472