Live participant's action recognition for virtual reality interactions
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
WOS:A1997BJ77D00002
1997
(Cat. No.97TB100206)
Comput. Graphics Lab., Fed. Inst. of Technol., Lausanne, Switzerland
REVIEWED
EPFL
Event name | Event place |
Seoul, South Korea | |