Overview
- Whole Body Interaction brings together a number of fields not previously associated together, namely Computer Science, Movement Science and Digital Art.
- Includes contributions from people who are experts in a range of disciplines.
- Focuses on current research and ideas for new projects on the integration of input and output from human motion, human physiology, cognitive models and emotional states.
Part of the book series: Human–Computer Interaction Series (HCIS)
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Table of contents (16 chapters)
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Front Matter
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Back Matter
Keywords
About this book
Whole Body Interaction is “The integrated capture and processing of human signals from physical, physiological, cognitive and emotional sources to generate feedback to those sources for interaction in a digital environment” (England 2009).
Whole Body Interaction looks at the challenges of Whole Body Interaction from the perspectives of design, engineering and research methods. How do we take physical motion, cognition, physiology, emotion and social context to push boundaries of Human Computer Interaction to involve the complete set of human capabilities? Through the use of various applications the authors attempt to answer this question and set a research agenda for future work.
Aimed at students and researchers who are looking for new project ideas or to extend their existing work with new dimensions of interaction.
Editors and Affiliations
Bibliographic Information
Book Title: Whole Body Interaction
Editors: David England
Series Title: Human–Computer Interaction Series
DOI: https://doi.org/10.1007/978-0-85729-433-3
Publisher: Springer London
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag London Limited 2011
Hardcover ISBN: 978-0-85729-432-6Published: 06 May 2011
Softcover ISBN: 978-1-4471-2651-5Published: 12 July 2013
eBook ISBN: 978-0-85729-433-3Published: 28 April 2011
Series ISSN: 1571-5035
Series E-ISSN: 2524-4477
Edition Number: 1
Number of Pages: XVI, 212
Topics: User Interfaces and Human Computer Interaction, Pattern Recognition, Image Processing and Computer Vision