Automatic biometrics recognition techniques are becoming increasingly important in corporate and public security systems and have increased in methods due to rapid field development. Behavioral Biometrics for Human Intelligent Applications discusses classic behavioral biometrics as well as collects the latest advances in techniques, theoretical approaches, and dynamic applications. A critical mass of research, this innovative collection serves as an important reference tool for researchers, practitioners, academicians, and technologists.
This is an insightful and intermediate guide that introduces readers to the intriguing world of behavioral biometrics. It adeptly navigates through the taxonomy of BB systems, shedding light on their practical applications, trade-offs, and the evolving landscape of user identification. With a keen focus on specific methods like gait recognition, keystroke dynamics, video-based approaches, and speaker verification, the book demystifies these complex concepts, making them accessible to both newcomers and seasoned professionals. It strikes a commendable balance between technical depth and readability, ensuring that readers gain a well-rounded understanding of the subject. Whether you're a security enthusiast, a technology professional, or simply curious about the future of identity verification, this book offers a valuable and engaging resource.