Digital Technologies in Olfaction: Fundamentals to Applications provides a comprehensive overview addressing how recent, digital, technological advances can be applied to olfaction. With an informatics approach into chemistry, the book introduces the extension of chemometrics in a modernized way such as deep learning and AI and applies it to machine olfaction.
The book is systematically divided into three main sections: Odor sensing systems: Provides an overview for a variety of devices for odor sensing systems and addresses the concept of active sensing (sensing methodology) and its application to machine olfaction; Cheminformatics: Introduces chemometrics and the concept of odor space. This section also addresses odor reproduction and odor impression predictions; Olfactory displays: Addresses the applications of odor presentation and olfactory display. This section enables its readers to learn a modernized way of scent presentation.
Digital Technologies in Olfaction: Fundamentals to Applications is a valuable resource for chemists and biologists who are interested in olfaction and artificial intelligence.
1. Chapter 1. Introduction to digital technologies in olfaction - p. 3 2. Chapter 2. Physiology of olfactory sense - p. 7 3. Section 2: Odor sensing system - p. 15 4. Chapter 3. Overview of olfactory sensors - p. 17 5. Chapter 4. Quartz crystal microbalance sensors - p. 41 6. Chapter 5. Odor biosensor - p. 83 7. Chapter 6. Active odor sensing system - p. 117 8. Section 3: Cheminformatics in machine olfaction - p. 137 9. Chapter 7. Fundamentals of chemometrics techniques - p. 139 10. Chapter 8. Concept of odor space - p. 161 11. Chapter 9. Odor impression prediction using multidimensional data analysis - p. 175 12. Chapter 10. Odor impression prediction using natural language processing - p. 191 13. Chapter 11. Odor reproduction using odor components - p. 207 14. Chapter 12. Odor reproduction based on several divergences - p. 221 15. Chapter 13. Analysis for interference removal in odor reproduction - p. 231 16. Section 4: Olfactory displays - p. 243 17. Chapter 14. Fundamental techniques of olfactory displays - p. 245 18. Chapter 15. Multicomponent olfactory displays - p. 263 19. Chapter 16. Wearable-olfactory displays - p. 281 20. Chapter 17. Digital contents with scents - p. 293 21. Chapter 18. Olfactory VR environment with computational fluid dynamics - p. 307 22. Chapter 19. Olfactory displays for teleolfaction - p. 319 23. Chapter 20. Olfactory Art - p. 329 24. Section 5: Conclusions - p. 345 25. Chapter 21. Conclusions - p. 347 26. Chapter 22. Future of machine olfaction - p. 349 27. Index - p. 351
Digital Technologies in Olfaction: Fundamentals to Applications provides a comprehensive overview addressing how recent, digital, technological advances can be applied to olfaction. With an informatics approach into chemistry, the book introduces the extension of chemometrics in a modernized way such as deep learning and AI and applies it to machine olfaction.
The book is systematically divided into three main sections: Odor sensing systems: Provides an overview for a variety of devices for odor sensing systems and addresses the concept of active sensing (sensing methodology) and its application to machine olfaction; Cheminformatics: Introduces chemometrics and the concept of odor space. This section also addresses odor reproduction and odor impression predictions; Olfactory displays: Addresses the applications of odor presentation and olfactory display. This section enables its readers to learn a modernized way of scent presentation.
Digital Technologies in Olfaction: Fundamentals to Applications is a valuable resource for chemists and biologists who are interested in olfaction and artificial intelligence.
1. Chapter 1. Introduction to digital technologies in olfaction - p. 3 2. Chapter 2. Physiology of olfactory sense - p. 7 3. Section 2: Odor sensing system - p. 15 4. Chapter 3. Overview of olfactory sensors - p. 17 5. Chapter 4. Quartz crystal microbalance sensors - p. 41 6. Chapter 5. Odor biosensor - p. 83 7. Chapter 6. Active odor sensing system - p. 117 8. Section 3: Cheminformatics in machine olfaction - p. 137 9. Chapter 7. Fundamentals of chemometrics techniques - p. 139 10. Chapter 8. Concept of odor space - p. 161 11. Chapter 9. Odor impression prediction using multidimensional data analysis - p. 175 12. Chapter 10. Odor impression prediction using natural language processing - p. 191 13. Chapter 11. Odor reproduction using odor components - p. 207 14. Chapter 12. Odor reproduction based on several divergences - p. 221 15. Chapter 13. Analysis for interference removal in odor reproduction - p. 231 16. Section 4: Olfactory displays - p. 243 17. Chapter 14. Fundamental techniques of olfactory displays - p. 245 18. Chapter 15. Multicomponent olfactory displays - p. 263 19. Chapter 16. Wearable-olfactory displays - p. 281 20. Chapter 17. Digital contents with scents - p. 293 21. Chapter 18. Olfactory VR environment with computational fluid dynamics - p. 307 22. Chapter 19. Olfactory displays for teleolfaction - p. 319 23. Chapter 20. Olfactory Art - p. 329 24. Section 5: Conclusions - p. 345 25. Chapter 21. Conclusions - p. 347 26. Chapter 22. Future of machine olfaction - p. 349 27. Index - p. 351
