Cai | Ambient Diagnostics | Buch |

Cai Ambient Diagnostics

1. Auflage 2019, 404 Seiten, Kartoniert, Format (B × H): 159 mm x 234 mm, Gewicht: 750 g
ISBN: 978-0-367-37808-0
Verlag: Taylor & Francis Ltd

Cai Ambient Diagnostics

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 textbookon multidisciplinary innovations in affordable healthcare—from sensory fusion, pattern detection, to classification.Connecting the DotsThe 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 phonesReflects the rapidly growing platforms for remote sensing, gaming, and social networkingIncorporates cognitive tests such as fatigue detectionIncludes pseudo code and sample codeProvides vision algorithms and multimedia analyticsCovers Multimedia Intelligence ExtensivelyAmbient 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.


Weitere Infos & Material

Part I. Fundamentals. Introduction. Transformation. Pattern Recognition. Part II. Multimedia Intelligence. Sound Recognition. Color Sensors. Kinect Sensors. Video Analytics. Fatigue Sensing. Part III. Pervasive Sensors. Mobile Sensors. Body Media. Pocket Microscopes. Personal Spectrometers. Part IV. Crowd Sourcing. Remote Sensing. Games for Diagnosis. Social Media. Problems. Sample Source Code. Further Readings. Index.

Cai, Yang
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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