Seamless Interfacing: Situation Awareness through Action Recognition and Spatio-Temporal Reasoning

Seamless Interfacing: Situation Awareness through Action Recognition and Spatio-Temporal Reasoning

Stephan Puls (Karlsruhe Institute of Technology (KIT), Germany) and Heinz Wörn (Karlsruhe Institute of Technology (KIT), Germany)
DOI: 10.4018/978-1-4666-4623-0.ch007
OnDemand PDF Download:
$30.00
List Price: $37.50

Abstract

Intuitive means of human-machine interaction are needed in order to facilitate seamless human-robot cooperation. Knowledge about human posture, whereabouts, and performed actions allows interpretation of the situation. Thus, expectations towards system behavior can be inferred. This work demonstrates a system in an industrial setting that combines all this information in order to achieve situation awareness. The continuous human action recognition is based on hierarchical Hidden Markov Models. For identifying and predicting human location, an approach based on potential functions is presented. The recognition results and spatial information are used in combination with a Description Logics-based reasoning system for modeling semantic interrelations, dependencies, and situations.
Chapter Preview
Top

Background

The idea of achieving seamless interaction between human and machine has motivated research for a long time. Many research groups have dedicated their work to this idea and many research sub-fields have developed. In the following, some of these related works are presented.

Complete Chapter List

Search this Book:
Reset