Computer Vision for Assistive Healthcare - 1st Edition - ISBN: 9780128134450

Computer Vision for Assistive Healthcare

1st Edition

Editors: Leo Marco Giovanni Maria Farinella
Paperback ISBN: 9780128134450
Imprint: Academic Press
Published Date: 1st April 2018
Page Count: 385
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Table of Contents

1. Computer Vision to see
2. Computer Vision for Cognition
3. Computer Vision for physical rehabilitation and training
4. Computer Vision for CADsystems in surgery
5. Computer Vision for human-machine interaction
6. Computer Vision for Ambient Assisted Living
7. Egocentric (first person) vision
8. Augmented and alternative communication
9. Life logging
10. Vision for Social and Affective Robotics
11. Computer Vision for Safety and Security
Visual Question Answering


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 and daily living activities. It describes how computer vision techniques - such as image processing, pattern recognition, machine learning and Language Processing and Computer Graphics- can cooperate with Robotics to provide such tools. The range of application areas covered are:

  • Mental functioning
  • Personal mobility
  • Sensory functions
  • Daily living activities

The reader will learn:

  • What are the emerging computer vision techniques for supporting mental functioning and to develop a Socially Assistive Robot (SAR)
  • The algorithms for analysing human behaviour beginning with visual data derived from environmental and wearable sensors (‘first person vision’)
  • How smart interfaces and virtual reality tools lead to the development of advanced rehabilitation systems able to perform human action and activity recognition using vision based techniques allowing a natural interaction experience
  • How Robotics Agent Coachers that can assist people with movement disorders during the execution of motor exercises
  • The technology behind intelligent wheelchairs
  • How computer vision technologies have the potential to assist blind people to independently access, understand, and explore the environments (both indoor and outdoor)
  • Computer vision-based solutions recently employed for safety and health monitoring: Fall detection, life log, and vital parameter monitoring

Key Features

  • The first book to give the state-of-the-art computer vision techniques and tools for assistive healthcare
  • Broad range of topic areas ranging from Image processing, pattern recognition, machine learning to robotics, natural language processing and computer graphics
  • Wide range of application areas ranging from mobility, sensory substitution, safety and security, to mental and physical rehabilitation and training
  • Written by leading researchers in this growing field of research
  • Contains pieces of code
  • Describes the outstanding research challenges still to be tackled, giving researchers good indicators of research opportunities


Researchers and graduate students in computer vision


No. of pages:
© Academic Press 2018
Academic Press
Paperback ISBN:

Ratings and Reviews

About the Editors

Leo Marco Editor

Marco Leo received an Honours Degree in Computer Science Engineering from the University of Salento (Italy) in 2001. Currently he is a Researcher at the National Research Council of Italy. His main research interests are in the fields of image and signal processing and analysis, computer vision, pattern recognition, neural networks, graphical models, linear and non-linear transformation (Fourier, Wavelet, ICA, kernels functions). He participated in a number of national and international research projects focusing on assistive technologies, automatic video surveillance of indoor and outdoor environments, human attention monitoring, real-time event detection in sport contexts and non-destructive inspection of aircraft components. He is author of more than 100 papers in national and international journals, and conference proceedings. He is also a co-author of three international patents on visual systems for event detection in sport contexts.

Affiliations and Expertise

Researcher, National Research Council of Italy

Giovanni Maria Farinella Editor

Giovanni Maria Farinella obtained a degree in Computer Science (egregia cum laude) from the University of Catania, Italy, in 2004. He joined as Internal Member of the IPLAB Research Group at University of Catania in 2005. He also became an Associate Member of the Computer Vision and Robotics Research Group at University of Cambridge in 2006. He was awarded a Doctor of Philosophy (Computer Vision) from the University of Catania in 2008. He is currently a Researcher at the Department of Mathematics and Computer Science, University of Catania, Italy. His research interests lie in the fields of Computer Vision, Image Analysis, Computer Graphics, Pattern Recognition and Machine Learning. Giovanni Maria Farinella founded (in 2006) and currently directs the International Computer Vision Summer School.

Affiliations and Expertise

Researcher, Department of Mathematics and Computer Science, University of Catania, Italy