Laban Movement Analysis for multi-ocular systems

Abstract— We present as a contribution to the field of humanmachine interaction a system that analyzes human movements online through multiple observers, based on the concept of Laban Movement Analysis (LMA). The implementation uses a Bayesian model for learning and classification, while the results are presented for the application to analyze expressive movements. In sports like Karate four judges are placed in the corners to observe the fight to ensure that the overall judgment is correct. In this paper we propose a multi-ocular system where each sub-system observes a movement from a different monocular perspective. The sub-systems send continuously guesses in form of probability distributions to the central system. The central system fuses the evidences and presents the final result. We present the Laban Movement Analysis as a concept to identify useful features of human movements to classify human actions. The movements are extracted using both, vision and magnetic tracker. T...

• Type: Conference
• Year: 2008
• Where: IROS
• Authors: Jörg Rett, Luis Santos, Jorge Dias
• Keywords: Expressive Movements, Human Movements, IROS 2008, Laban Movement Analysis, Robotics