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IROS
2009
IEEE

Human Robot interaction studies on laban human movement analysis and dynamic background segmentation

9 years 6 months ago
Human Robot interaction studies on laban human movement analysis and dynamic background segmentation
— Human movement analysis through vision sensing systems is an important subject regarding Human-Robot interaction. This is a growing area of research, with wide range of aplications fields. The ability to recognize human actions using passive sensing modalities, is a decisive factor for machine interaction. In mobile platforms, image processing is regarded as a problem, due to constant changes. We propose an approach, based on Horopter technique, to extract Regions Of Interest (ROI) delimiting human contours. This fact will allow tracking algorithms to provide faster and accurate responses to human feature extraction. The key features are head and both hand positions, that will be tracked within image context. Posterior to feature acquisition, they will be contextualized within a technique, Laban Movement Analysis (LMA) and will be used to provide sets of classifiers. We will use these classifiers to label/classify human emotion within the context of expressive movements. Compare...
Luis Santos, José Augusto Prado, Jorge Dias
Added 24 May 2010
Updated 24 May 2010
Type Conference
Year 2009
Where IROS
Authors Luis Santos, José Augusto Prado, Jorge Dias
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