Behavioral Biometrics and Artificial Intelligence for Neurodegenerative Diseases Assessment
Editat de Vincenzo Dentamaro, Donato Impedovo, Giuseppe Pirloen Limba Engleză Paperback – sep 2025
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.
- Presents motor patterns and evolution of 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
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Specificații
ISBN-13: 9780443135453
ISBN-10: 0443135452
Pagini: 300
Dimensiuni: 152 x 229 mm
Editura: ELSEVIER SCIENCE
ISBN-10: 0443135452
Pagini: 300
Dimensiuni: 152 x 229 mm
Editura: ELSEVIER SCIENCE
Cuprins
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
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