Ubiquitous Computing, Healthcare and Well-being

Human Activity Recognition has been researched in thousands of papers, with mobile/environmental sensors in ubiquitous/pervasive domains, and with cameras in vision domains. Human Behavior Analysis is also explored for long-term health care, rehabilitation, emotion recognition, human interaction, and so on. However, many research challenges remain for realistic settings, such as complex and ambiguous activities/behavior, optimal sensor combinations, (deep) machine learning, data collection, platform systems, and applications.

The Ubiquitous Computing, Healthcare and Well-being Series provides a forum for capturing the latest advances and setting the course for future research in these areas. Books in the series will typically be presented by leading researchers globally and will cover, among other things: original methods; exploration of new applications; excellent survey papers; presentations on relevant datasets; challenging applications; ideas and future scopes; guidelines.

Series Editors:

• Md Atiqur Rahman Ahad, Ph.D., University of East London, UK
• Sozo Inoue, Kyushu Institute of Technology, Japan

Editorial contact: Elliott Morsia (elliott.morsia@tandf.co.uk)