Gesture semantics reconstruction based on motion capturing and complex event processing
- UNCG Author/Contributor (non-UNCG co-authors, if there are any, appear on document)
- Insa Lawler, Assistant Professor (Creator)
- Institution
- The University of North Carolina at Greensboro (UNCG )
- Web Site: http://library.uncg.edu/
Abstract: A fundamental problem in manual based gesture semantics reconstruction is the specification of preferred semantic concepts for gesture trajectories. This issue is complicated by problems human raters have annotating fast-paced three dimensional trajectories. Based on a detailed example of a gesticulated circular trajectory, we present a data-driven approach that covers parts of the semantic reconstruction by making use of motion capturing (mocap) technology. In our FA3ME framework we use a complex event processing approach to analyse and annotate multi-modal events. This framework provides grounds for a detailed description of how to get at the semantic concept of circularity observed in the data.
Gesture semantics reconstruction based on motion capturing and complex event processing
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Additional Information
- Publication
- 14th Annual Meeting of the Special Interest Group on Discourse and Dialogue, 270-279.
- Language: English
- Date: 2013
- Keywords
- semantics, complex event processing, gesture annotation, circular trajectory