Intelligent Computing for Interactive System Design: Statistics, Digital Signal Processing and Machine...

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Parisa Eslambolchilar Mark Dunlop

Intelligent Computing for Interactive System Design

Statistics, Digital Signal Processing and Machine Learning in Practice

Parisa Eslambolchilar, Mark Dunlop, Andreas Komninos

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English

Association of Computing Machinery,U.S.
28 February 2021

Data mining; Human-computer interaction

Summary
Details

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.

Edited by: Parisa Eslambolchilar, Mark Dunlop, Andreas Komninos
Imprint: Association of Computing Machinery,U.S.
Country of Publication: United States
Dimensions: Height: 235mm, Width: 191mm, Spine: 24mm
Weight: 803g
ISBN: 9781450390262
ISBN 10: 1450390269
Pages: 472
Publication Date: 28 February 2021
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active