A multilevel computing framework for behavior recognition and interaction in mixed reality workspaces
An improved interaction model is proposed that aims to comprehensively perceive multi-scale human behaviors, including social, global-postural, local-gestural, and facial scales, and provides initial evidence that the proposed framework can effectively sense user behaviors and dynamically adapt environmental changes.