Conference Proceedings

AutoBAP: Automatic Coding of Body Action and Posture Units from Wearable Sensors

Eduardo Velloso, Andreas Bulling, Hans Gellersen

Proceedings of the 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction | IEEE Computer Society | Published : 2013

Abstract

Manual annotation of human body movement is an integral part of research on non-verbal communication and computational behaviour analysis but also a very time-consuming and tedious task. In this paper we present AutoBAP, a system that automates the coding of bodily expressions according to the body action and posture (BAP) coding scheme. Our system takes continuous body motion and gaze behaviour data as its input. The data is recorded using a full body motion tracking suit and a wearable eye tracker. From the data our system automatically generates a labelled XML file that can be visualised and edited with off-the-shelf video annotation tools. We evaluate our system in a laboratory-based use..

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University of Melbourne Researchers