| Titre : |
Intelligent computing for interactive system design : statistics, digital signal processing and machine learning in practice |
| Type de document : |
document électronique |
| Editeur : |
New Delhi : ACM Books |
| Année de publication : |
2021 |
| Importance : |
1 fichier PDF |
| Présentation : |
ill. |
| ISBN/ISSN/EAN : |
978-1-4503-9028-6 |
| Note générale : |
Mode d'accès : accès au texte intégral par :
- authentification après inscription à la plateforme EBSCOhost
ou
- adresse IP de l'École
Bibliogr. at the end of chapters . - Index |
| Mots-clés : |
Machine learning
Statistics
Signal processing--Digital techniques
Human-computer interaction
User interfaces (Computer systems)
Computers--Moral and ethical aspects |
| Résumé : |
Intelligent Computing for Interactive System Design provides a comprehensive resource on what has become the dominant paradigm in designing novel interaction methods, involving gestures, speech, text, touch and brain-controlled interaction, embedded in innovative and emerging human-computer interfaces. These interfaces support ubiquitous interaction with applications and services running on smartphones, wearables, in-vehicle systems, virtual and augmented reality, robotic systems, the Internet of Things (IoT), and many other domains that are now highly competitive, both in commercial and in research contexts. This book presents the crucial theoretical foundations needed by any student, researcher, or practitioner working on novel interface design, with chapters on statistical methods, digital signal processing (DSP), and machine learning (ML). These foundations are followed by chapters that discuss case studies on smart cities, brain-computer interfaces, probabilistic mobile text entry, secure gestures, personal context from mobile phones, adaptive touch interfaces, and automotive user interfaces. The case studies chapters also highlight an in-depth look at the practical application of DSP and ML methods used for processing of touch, gesture, biometric, or embedded sensor inputs. A common theme throughout the case studies is ubiquitous support for humans in their daily professional or personal activities. In addition, the book provides walk-through examples of different DSP and ML techniques and their use in interactive systems. Common terms are defined, and information on practical resources is provided (e.g., software tools, data resources) for hands-on project work to develop and evaluate multimodal and multi-sensor systems. In a series of in-chapter commentary boxes, an expert on the legal and ethical issues explores the emergent deep concerns of the professional community, on how DSP and ML should be adopted and used in socially appropriate ways, to most effectively advance human performance during ubiquitous interaction with omnipresent computers. This carefully edited collection is written by international experts and pioneers in the fields of DSP and ML. It provides a textbook for students and a reference and technology roadmap for developers and professionals working on interaction design on emerging platforms. |
| Note de contenu : |
Summary :
1. Internet of everything.
2. Statistical grounding.
3. DSP basics.
4. Machine learning basics.
5. Combining infrastructure sensor and tourism market data in a smart city project—case study 1.
6. Brain–computer interfacing with interactive systems—case study 2.
7. Probabilistic text entry—case study 3.
8. Secure gestures—case study 4.
9. Personal context from mobile phones—case study 5.
10. Building adaptive touch interfaces—case study 6.
11. Driver cognitive load classification based on physiological data—case study 7. |
Intelligent computing for interactive system design : statistics, digital signal processing and machine learning in practice [document électronique] . - New Delhi : ACM Books, 2021 . - 1 fichier PDF : ill. ISBN : 978-1-4503-9028-6 Mode d'accès : accès au texte intégral par :
- authentification après inscription à la plateforme EBSCOhost
ou
- adresse IP de l'École
Bibliogr. at the end of chapters . - Index
| Mots-clés : |
Machine learning
Statistics
Signal processing--Digital techniques
Human-computer interaction
User interfaces (Computer systems)
Computers--Moral and ethical aspects |
| Résumé : |
Intelligent Computing for Interactive System Design provides a comprehensive resource on what has become the dominant paradigm in designing novel interaction methods, involving gestures, speech, text, touch and brain-controlled interaction, embedded in innovative and emerging human-computer interfaces. These interfaces support ubiquitous interaction with applications and services running on smartphones, wearables, in-vehicle systems, virtual and augmented reality, robotic systems, the Internet of Things (IoT), and many other domains that are now highly competitive, both in commercial and in research contexts. This book presents the crucial theoretical foundations needed by any student, researcher, or practitioner working on novel interface design, with chapters on statistical methods, digital signal processing (DSP), and machine learning (ML). These foundations are followed by chapters that discuss case studies on smart cities, brain-computer interfaces, probabilistic mobile text entry, secure gestures, personal context from mobile phones, adaptive touch interfaces, and automotive user interfaces. The case studies chapters also highlight an in-depth look at the practical application of DSP and ML methods used for processing of touch, gesture, biometric, or embedded sensor inputs. A common theme throughout the case studies is ubiquitous support for humans in their daily professional or personal activities. In addition, the book provides walk-through examples of different DSP and ML techniques and their use in interactive systems. Common terms are defined, and information on practical resources is provided (e.g., software tools, data resources) for hands-on project work to develop and evaluate multimodal and multi-sensor systems. In a series of in-chapter commentary boxes, an expert on the legal and ethical issues explores the emergent deep concerns of the professional community, on how DSP and ML should be adopted and used in socially appropriate ways, to most effectively advance human performance during ubiquitous interaction with omnipresent computers. This carefully edited collection is written by international experts and pioneers in the fields of DSP and ML. It provides a textbook for students and a reference and technology roadmap for developers and professionals working on interaction design on emerging platforms. |
| Note de contenu : |
Summary :
1. Internet of everything.
2. Statistical grounding.
3. DSP basics.
4. Machine learning basics.
5. Combining infrastructure sensor and tourism market data in a smart city project—case study 1.
6. Brain–computer interfacing with interactive systems—case study 2.
7. Probabilistic text entry—case study 3.
8. Secure gestures—case study 4.
9. Personal context from mobile phones—case study 5.
10. Building adaptive touch interfaces—case study 6.
11. Driver cognitive load classification based on physiological data—case study 7. |
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