What Matters Over Time: Temporal Properties of Non-Verbal Signals for Intent Recognition in Human–Robot Interaction
Multimodal fusion systems for human–robot interaction predominantly rely on snapshot-level features that capture what nonverbal signals are present at a given moment, ignoring when they occur, how long they last, and in what order they unfold. Nevertheless, the temporal dynamics of human behaviour may convey communicat...