Behavioral Biometrics and Artificial Intelligence for Neurodegenerative Diseases Assessment

Erscheinungsjahr 2026
ISBN: 978-0-443-13545-3
Verlag: Elsevier Science

Buch, Englisch, 300 Seiten, Format (B × H): 152 mm x 229 mm

Neurodegenerative disorders encompass a wide range of conditions resulting from progressive damage to cells and nervous system connections, most common are Alzheimer's disease and Parkinson's disease. Millions are diagnosed each year using various forms of neuroimaging techniques, however, with new innovations there are new forms of assessments.

Behavioral Biometrics and Artificial Intelligence for Neurodegenerative Diseases Assessment reviews new innovated non-invasive behavioral biometrics and artificial intelligence techniques for early neurodegenerative disease assessment. Unlike standard biometrics, behavioral biometrics is interested in non-directly measurable physical properties. It seeks patterns that are recognized only when the subject performs a particular behavior. This book reviews several AI techniques including machine learning and deep neural networks for computer vision to help observe gait, handwriting, and speech. Chapters on wearable sensors, smartphones and tablet use for neurodegenerative disease assessments are also included.

Autoren/Hrsg.

Dentamaro, Vincenzo

Pirlo, Giuseppe

Impedovo, Donato

Fachgebiete

• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizinische Fachgebiete Bildgebende Verfahren, Nuklearmedizin, Strahlentherapie Radiologie, Bildgebende Verfahren
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Klinische und Innere Medizin Neurologie, Klinische Neurowissenschaft

Inhaltsverzeichnis

1. Introduction to neurodegenerative diseases
2. Machine learning
3. Feature extraction, feature selection, dimensionality reduction
4. Classification and Regression Models
5. Training and Testing by ensuring intrer-patient separation scheme
6. Model validation
7. Neural Networks
8. Deep Neural Networks for Computer Vision
9. Overview of modern architectures for image classification
10. Overview of modern architectures for time series classification
11. The mechanics of the movement
12. A review of noninvasive sensors and techniques for detecting the early sign of neurodegenerative disease using machine learning
13. Wearable sensors for Neurodegenerative disease assessment
14. Detection of early signs of neurodegenerative disease through smartphone app analyzing gait and five-time sit to stand tests
15. Detection of early signs of neurodegenerative disease through smartphones and speech audio
16. Detection of early signs of neurodegenerative disease through digital tablets and Handwriting
17. Computer Vision techniques for detecting neurodegenerative disease through neuroimaging techniques.
18. Explainable artificial intelligent techniques as a way to trust AI
19. Conclusions and future research directions

Über Autor(innen)

Pirlo, Giuseppe
GIUSEPPE PIRLO received the degree in computer science (cum laude) from the Department of Computer Science, University of Bari, Italy, in 1986. Since 1986, he was carrying out research in the field of computer science and neuroscience, signal processing, handwriting processing, automatic signature verification, biometrics, pattern recognition and statistical data processing. Since 1991, he was an Assistant Professor with the Department of Computer Science, University of Bari, where he is currently a Full Professor.
He developed several scientific projects and authored over 250 papers on international journals, scientific books and proceedings.
Prof. Pirlo is currently an Associate Editor of the IEEE Transactions on Human-Machine Systems. He also serves as a Reviewer for many international journals including the IEEE T-PAMI, the IEEE T-FS, the IEEE T-SMC, the IEEE T-EC, the IEEE T-IP, the IEEE T-IFS, the Pattern Recognition, the IJDAR, and the IPL. He was the general co-chair of the International Workshop on Smart Cities and Smart Enterprises (SCSE2018), of the International Workshop On Artificial Intelligence With Application In Health (WAIAH2017), of the International Workshop on Emerging Aspects in Handwriting Signature Processing, Naples, in 2013, the International Workshop on Image-based Smart City Applications, Genoa, in 2015, and the General Co-Chair of the International Conference on Frontiers in Handwriting Recognition, Bari, in 2012. He was a reviewer in the scientific committee and program committee of many international conferences in the field of computer science, pattern recognition and signal processing, such as the ICPR, the ICDAR, the ICFHR, the IWFHR, the ICIAP, the VECIMS, and the CISMA.
He is also the editor of several books. He was an Editor of the Special Issue Handwriting Recognition and Other PR Applications of the Pattern Recognition Journal in 2014 and the Special Issue Handwriting Biometrics of the IET Biometrics Journal in 2014. He was the Guest Editor of the Special Issue of the Je-LKS Journal of the e-Learning and Knowledge Society Steps toward the Digital Agenda: Open Data to Open Knowledge in 2014. He is currently the Guest Co-Editor of the Special Issue of the IEEE Transactions on Human-Machine Systems on Drawing and Handwriting Processing for User-Centered Systems.