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Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
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Intelligent Computing for Interactive System Design - Statistics, Digital Signal Processing and Machine Learning in Practice (Hardcover)
Loot Price: R2,492
Discovery Miles 24 920
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Intelligent Computing for Interactive System Design - Statistics, Digital Signal Processing and Machine Learning in Practice (Hardcover)
Series: ACM Collection II
Expected to ship within 10 - 15 working days
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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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