Ambient Diagnostics

ISBN-13: 9780367378080 / Angielski / Miękka / 2019 / 404 str.

Yang Cai

Opis

This text 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 for studying multidisciplinary innovations in affordable healthcare, from sensory fusion, pattern detection, to classification.

Spis treści

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.

O autorze

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.