Towards an Advanced Framework for Whole Body Interaction

Authors:
David England;Martin Randles;Paul Fergus;A. Taleb-Bendiab
Affiliations:
School of Computing and Maths, Liverpool John Moores University, Liverpool, UK L3 3AF;School of Computing and Maths, Liverpool John Moores University, Liverpool, UK L3 3AF;School of Computing and Maths, Liverpool John Moores University, Liverpool, UK L3 3AF;School of Computing and Maths, Liverpool John Moores University, Liverpool, UK L3 3AF
Venue:
VMR '09 Proceedings of the 3rd International Conference on Virtual and Mixed Reality: Held as Part of HCI International 2009
Year:
2009

Citing 5
Cited 2

Some computer science issues in ubiquitous computing

Communications of the ACM - Special issue on computer augmented environments: back to the real world
The Vision of Autonomic Computing

Computer
Adjustable Deliberation of Self-Managing Systems

ECBS '05 Proceedings of the 12th IEEE International Conference and Workshops on Engineering of Computer-Based Systems
Physical computing: sensing and controlling the physical world with computers

Physical computing: sensing and controlling the physical world with computers
Motion Capture and Emotion: Affect Detection in Whole Body Movement

ACII '07 Proceedings of the 2nd international conference on Affective Computing and Intelligent Interaction

MoBoogie: creative expression through whole body musical interaction

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Developing an open source exertion interface for two-handed 3D and 6DOF motion tracking and visualisation

BCS-HCI '11 Proceedings of the 25th BCS Conference on Human-Computer Interaction

Quantified Score

Hi-index	0.01

Visualization

Abstract

Whole Body Interaction has emerged in recent years as a discipline that integrates the physical, physiological, cognitive and emotional aspects of a person's complete interaction with a digital environment. In this paper we present a framework to handle the integration of the complex of input signals and the feedback required to support such interaction. The framework is based on the principles of Autonomic Computing and aims to provide adaption and robustness in the management of whole body interaction. Finally we present some example case studies of how such a framework could be used.