This book introduces zero-effort technologies (ZETs), an emerging class of technology that requires little or no effort from the people who use it. ZETs use advanced techniques, such as computer vision, sensor fusion, decision-making and planning, and machine learning to autonomously operate through the collection, analysis, and application of data about the user and his/her context. This book gives an overview of ZETs, presents concepts in the development of pervasive intelligent technologies and environments for health and rehabilitation, along with an in-depth discussion of the design principles that this approach entails. The book concludes with a discussion of specific ZETs that have applied these design principles with the goal of ensuring the safety and well-being of the people who use them, such as older adults with dementia and provides thoughts regarding future directions of the field. Table of Contents: Lecture Overview / Introduction to Zero Effort Technologies / Designing ZETs / Building and Evaluating ZETs / Examples of ZETs / Conclusions and Future Directions
Spis treści
Lecture Overview.- Introduction to Zero Effort Technologies.- Designing ZETs.- Building and Evaluating ZETs.- Examples of ZETs.- Conclusions and Future Directions.
O autorze
Dr. Alex Mihailidis is the Barbara G. Stymiest Research Chair in Rehabilitation Technology at the University of Toronto and Toronto Rehab Institute. He is a Professor in the Department of Occupational Science and Occupational Therapy and in the Institute of Biomaterials and Biomedical Engineering, with a cross appointment in the Department of Computer Science (all at the University of Toronto). He has been conducting research in the field of pervasive computing and intelligent systems in health for the past 15 years, having published over 150 journal papers, conference papers, and abstracts in this field. He has specifically focused on the development of intelligent home systems for elder care and wellness, technology for children with autism, and adaptive tools for nurses and clinical applications.
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