Intelligent computing for interactive system design : statistics, digital signal processing, and machine learning in practice /
Intelligent computing for interactive system design : statistics, digital signal processing, and machine learning in practice /
[edited by] Parisa Eslambolchilar, Andreas Komninos, Mark Dunlop.
- First edition.
- 1 online resource (xvi, 455 pages) : illustrations (chiefly color)
- ACM Book series, #34 2374-6777 ; .
- ACM books ; #34. .
Includes bibliographical references and index.
Internet of Everything -- Internet of Everything : introducing privacy -- Statistical grounding -- Ethics and statistics -- DSP basics -- Ethical issues of digital signal processing -- Machine learning basics -- ethical issues in machine learning -- Combining infrastructure sensor and tourism market data in a smart city project : case study 1 -- Ethics and smart cities -- Brain-computer interfacing with interactive systems : case study 2 -- Ethical issues in brain-computer interfaces -- Probabilistic text entry : case study 3 -- Ethical issues in probabilistic text entry -- Secure gestures : case study 4 -- Ethics and secure gestures -- Personal context from mobile phones : case study 5 -- Ethics and personal context -- Building adaptive touch interfaces : case study 6 -- Ethics and adaptive touch interfaces -- Driver cognitive load classification based on physiological data : case study 7 -- Ethics in automotive user interface.
'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. -- Back cover.
9781450390286 1450390285 9781450390279 1450390277
Human-computer interaction.
User interfaces (Computer systems)
Signal processing--Digital techniques.
Machine learning.
Statistics.
Computers--Moral and ethical aspects.
User-Computer Interface
Machine Learning
Interfaces utilisateurs (Informatique)
Traitement du signal--Techniques num�eriques.
Apprentissage automatique.
Ordinateurs--Aspect moral.
Statistique.
statistics.
Computers--Moral and ethical aspects
Human-computer interaction
Machine learning
Signal processing--Digital techniques
Statistics
User interfaces (Computer systems)
Electronic books.
QA76.9.H85 / I58 2021eb
004.019
Includes bibliographical references and index.
Internet of Everything -- Internet of Everything : introducing privacy -- Statistical grounding -- Ethics and statistics -- DSP basics -- Ethical issues of digital signal processing -- Machine learning basics -- ethical issues in machine learning -- Combining infrastructure sensor and tourism market data in a smart city project : case study 1 -- Ethics and smart cities -- Brain-computer interfacing with interactive systems : case study 2 -- Ethical issues in brain-computer interfaces -- Probabilistic text entry : case study 3 -- Ethical issues in probabilistic text entry -- Secure gestures : case study 4 -- Ethics and secure gestures -- Personal context from mobile phones : case study 5 -- Ethics and personal context -- Building adaptive touch interfaces : case study 6 -- Ethics and adaptive touch interfaces -- Driver cognitive load classification based on physiological data : case study 7 -- Ethics in automotive user interface.
'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. -- Back cover.
9781450390286 1450390285 9781450390279 1450390277
Human-computer interaction.
User interfaces (Computer systems)
Signal processing--Digital techniques.
Machine learning.
Statistics.
Computers--Moral and ethical aspects.
User-Computer Interface
Machine Learning
Interfaces utilisateurs (Informatique)
Traitement du signal--Techniques num�eriques.
Apprentissage automatique.
Ordinateurs--Aspect moral.
Statistique.
statistics.
Computers--Moral and ethical aspects
Human-computer interaction
Machine learning
Signal processing--Digital techniques
Statistics
User interfaces (Computer systems)
Electronic books.
QA76.9.H85 / I58 2021eb
004.019