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Intelligent Computing for Interactive System Design : Statistics, Digital Signal Processing and Machine Learning in Practice

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Title: Intelligent Computing for Interactive System Design : Statistics, Digital Signal Processing and Machine Learning in Practice
Description: 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.
Authors: Parisa Eslambolchilar, Mark Dunlop, Andreas Komninos
Resource Type: eBook.
Subjects: Machine learning, Statistics, Signal processing--Digital techniques, Human-computer interaction, User interfaces (Computer systems), Computers--Moral and ethical aspects
Categories: COMPUTERS / Data Science / Machine Learning, COMPUTERS / Data Science / Data Analytics, COMPUTERS / Human-Computer Interaction (HCI)
Database: eBook Collection (EBSCOhost)
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  Data: 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.
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      – Code: 004.019
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Machine learning
        Type: general
      – SubjectFull: Statistics
        Type: general
      – SubjectFull: Signal processing--Digital techniques
        Type: general
      – SubjectFull: Human-computer interaction
        Type: general
      – SubjectFull: User interfaces (Computer systems)
        Type: general
      – SubjectFull: Computers--Moral and ethical aspects
        Type: general
    Titles:
      – TitleFull: Intelligent Computing for Interactive System Design : Statistics, Digital Signal Processing and Machine Learning in Practice
        Type: main
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    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Parisa Eslambolchilar
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          Name:
            NameFull: Mark Dunlop
      – PersonEntity:
          Name:
            NameFull: Andreas Komninos
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            NameFull: Parisa Eslambolchilar
      – PersonEntity:
          Name:
            NameFull: Mark Dunlop
      – PersonEntity:
          Name:
            NameFull: Andreas Komninos
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2021
            – D: 10
              M: 09
              Type: profile
              Y: 2024
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              Value: 9781450390262
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              Value: 9781450390286
            – Type: isbn-electronic
              Value: 9781450390279
          Numbering:
            – Type: volume
              Value: 00034
          Titles:
            – TitleFull: Intelligent Computing for Interactive System Design : Statistics, Digital Signal Processing and Machine Learning in Practice
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