Title :
Live participant´s action recognition for virtual reality interactions
Author :
Emering, Luc ; Boulic, Ronan ; Thalmann, Daniel
Author_Institution :
Comput. Graphics Lab., Fed. Inst. of Technol., Lausanne, Switzerland
Abstract :
The recognition of daily human activities is a decisive interface component for more intuitive virtual reality (VR) interactions. In this paper, we describe a hierarchical model of body actions based on fine-grained action primitives. The associated recognition algorithm allows on-the-fly identification of simultaneous actions. Measurements highlight robustness to participants´ variability and high detection rates when using the full potential of the action model. An example illustrates an interaction with a virtual character driven by the participant´s action recognition
Keywords :
interactive devices; pattern recognition; pattern recognition equipment; virtual reality; action recognition; body actions identification; daily human activities; detection rates; fine-grained action primitives; hierarchical model; interface component; live participant; recognition algorithm; virtual character; virtual reality interactions; Biological system modeling; Character recognition; Computer graphics; Handicapped aids; Humans; Magnetic sensors; Particle measurements; Robustness; Surges; Virtual reality;
Conference_Titel :
Computer Graphics and Applications, 1997. Proceedings., The Fifth Pacific Conference on
Conference_Location :
Seoul
Print_ISBN :
0-8186-8028-8
DOI :
10.1109/PCCGA.1997.626167
