Ambient Diagnostics

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A01=Yang Cai
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Author_Yang Cai
Ball Lens
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cognitive assessment tools
crowdsourced medical data
Diffraction Grating
Digital Human
Digital Human Modeling
DTW Algorithm
DVD Disk
Early Discoveries Of Heartbeat Patterns
EEG Device
EEG Wave
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eq_computing
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eq_isMigrated=2
eq_nobargain
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Gps Sensor
Homographic Transform
ICP Algorithm
Kinect SDK
Magnetic Field
Mem Gyroscope
MHI
Multimedia Intelligence
Pattern Recognition
pattern recognition models
Pill Camera
PWS.
remote patient monitoring solutions
RGB
RGB Color Space
RGB Space
Roc Curve
sensor fusion techniques
Sound Recognition
Video Analytics
visual analytics methods
Waist Perimeter
wearable health technology
What Is Ambient Diagnostics?
White Blood Cells

Product details

  • ISBN 9781466510418
  • Weight: 726g
  • Dimensions: 156 x 234mm
  • Publication Date: 01 Dec 2014
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
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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.

Yang Cai is a computer scientist at Carnegie Mellon University, where he has taught graduate courses in cognitive video, multimedia, human algorithms, creativity, and innovation process. Cai is the founder of the Visual Intelligence Studio and author of the emerging theories of instinctive computing, ambient diagnostics, and empathic computing. He has hosted international workshops on ambient intelligence for scientific discovery, instinctive computing, digital human modeling, and video intelligence. He has been working on research projects with the National Science Foundation, NASA, the Air Force Research Lab, and various industries.

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