Behavioral Biometrics and Artificial Intelligence for Neurodegenerative Diseases Assessment explores cutting-edge, non-invasive techniques for the early detection of neurodegenerative diseases. The book focuses on behavioral biometrics, which analyzes patterns in a person’s actions rather than directly measurable traits. By utilizing artificial intelligence methods—like machine learning and deep neural networks—it enables the observation of subtle changes in gait, handwriting, and speech. These advanced approaches offer promise for earlier and more accurate diagnosis, potentially improving outcomes for millions affected by conditions such as Alzheimer’s and Parkinson’s diseases through timely intervention and personalized care.

In addition to its core coverage, the book delves into the practical applications of wearable sensors and the use of everyday devices like smartphones and tablets in assessments. It provides comprehensive chapters on how these technologies can aid clinicians and researchers in monitoring disease progression outside traditional clinical settings.

• Presents motor patterns and the evolution of the most common neurodegenerative diseases
• Reviews most used behavioral biometrics for neurodegenerative disease assessment and how to measure them
• Outlines AI tools for neurodegenerative disease assessment