Computer Vision for Assistive Healthcare

Computer Vision for Assistive Healthcare
Author :
Publisher : Academic Press
Total Pages : 398
Release :
ISBN-10 : 9780128134467
ISBN-13 : 0128134461
Rating : 4/5 (67 Downloads)

Book Synopsis Computer Vision for Assistive Healthcare by : Leo Marco

Download or read book Computer Vision for Assistive Healthcare written by Leo Marco and published by Academic Press. This book was released on 2018-05-15 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer Vision for Assistive Healthcare describes how advanced computer vision techniques provide tools to support common human needs, such as mental functioning, personal mobility, sensory functions, daily living activities, image processing, pattern recognition, machine learning and how language processing and computer graphics cooperate with robotics to provide such tools. Users will learn about the emerging computer vision techniques for supporting mental functioning, algorithms for analyzing human behavior, and how smart interfaces and virtual reality tools lead to the development of advanced rehabilitation systems able to perform human action and activity recognition. In addition, the book covers the technology behind intelligent wheelchairs, how computer vision technologies have the potential to assist blind people, and about the computer vision-based solutions recently employed for safety and health monitoring. - Gives the state-of-the-art computer vision techniques and tools for assistive healthcare - Includes a broad range of topic areas, ranging from image processing, pattern recognition, machine learning to robotics, natural language processing and computer graphics - Presents a wide range of application areas, ranging from mobility, sensory substitution, and safety and security, to mental and physical rehabilitation and training - Written by leading researchers in this growing field of research - Describes the outstanding research challenges that still need to be tackled, giving researchers good indicators of research opportunities


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