E-raamat: Ambient Diagnostics

In everyday life, we often recognize patterns from ad-hoc sensors and make intuitive decisions. This process is known as ambient diagnostics. This textbook is written for emerging courses in biomedical engineering, electrical engineering, and computer science that explore intelligent software diagnostics from affordable devices, such as sensors on mobile phones, microphones, cameras, and gyroscopes. The text inspires readers to design and develop tools tor personal health monitoring and diagnosis. It isa visionary attempt to enable pervasive monitoring of changing health status, multiple sensory fusion, and telemedicine right from ones pocket. This in turn will significantly reduce the cost of healthcare and improve quality of life--Provided by publisher. This volume describes the use of diagnostic technology for detecting patterns or abnormalities from ambient data like multimedia sensors, processors, and display technologies on smartphones and laptops; crowdsourcing methods that detect flu epidemics, rare diseases, and other diagnoses; and other sensors. It explains the fundamentals of ambient diagnostics, data transformation, and pattern recognition; sound recognition of snores, noises, lung and other sounds, color vision and Kinect sensors, video analysis, and fatigue detection; mobile phone sensors, body media, pocket microscopes, and personal spectrometers for applications like urine samples and observing yeast cells; and remote sensing, games for diagnoses, and the use of social media. Annotation ©2015 Ringgold, Inc., Portland, OR (protoview.com) 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 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.