Ambient Diagnostics addresses innovative methods for discovering
patterns from affordable devices, such as mobile phones, watches,
cameras, and game interfaces, to interpret multimedia data for
personal health monitoring and diagnosis. This is the first
comprehensive textbook on multidisciplinary innovations in
affordable healthcare-from sensory fusion, pattern detection, to
classification. Connecting the Dots The material in this book
combines sensing, pattern recognition, and visual design, and is
divided into four parts, which cover fundamentals, multimedia
intelligence, pervasive sensors, and crowdsourcing. The author
describes basic pattern discovery models, sound, color, motion and
video analytics, and pattern discovery from games and social
networks. Each chapter contains the material's main concepts, as
well as case studies, and extensive study questions. Contains
overviews about diagnostic sensors on mobile phones Reflects the
rapidly growing platforms for remote sensing, gaming, and social
networking Incorporates cognitive tests such as fatigue detection
Includes pseudo code and sample code Provides vision algorithms and
multimedia analytics Covers Multimedia Intelligence Extensively
Ambient Diagnostics includes concepts for ambient technologies such
as point-and-search, the pill camera, active sensing with Kinect,
digital human labs, negative and relative feature spaces, and
semantic representations. The book also introduces methods for
collective intelligence from online video games and social media.
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