PAMOCAT: Automatic retrieval of specified postures

Abstract

In order to understand and model the non-verbal communicative conduct of humans, it seems fruitful to combine qualitative methods (Conversation Analysis) and quantitative techniques (motion capturing). A Tools for data visualization and annotation is important as they constitute a central interface between different research approaches and methodologies. We have developed the pre-annotation tool “PAMOCAT” that detects motion segments of individual joints. A sophisticated user interface easily allows the annotating person to find correlations between different joints and to export combined qualitative and quantitative annotations to standard annotation tools. Using this technique we are able to examine complex setups with three persons in tight conversion. A functionality to search for special postures of interest and display the frames in an overview makes it easy to analyze difference phenomenas in Conversation Analysis.

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