Automated Derivation of Primitives for Movement Classification
Autonomous Robots
Semantic Segmentation of Motion Capture Using Laban Movement Analysis
IVA '07 Proceedings of the 7th international conference on Intelligent Virtual Agents
Automated gesture segmentation from dance sequences
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
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This paper presents a pilot experiment for the perceptual validation by human subjects of a motion segmentation algorithm, i.e., an algorithm for automatically segmenting a motion sequence (e.g., a dance fragment) into a collection of pause and motion phases. Perceptual validation of motion and gesture analysis algorithms is an important issue in the development of multimodal interactive systems where human full-body movement and expressive gesture are a major input channel. The discussed experiment is part of a broader research at DIST-InfoMus Lab aiming at investigating the non-verbal mechanisms of communication involving human movement and gesture as primary conveyors of expressive emotional content.