Towards Lifelong Learning and Organization of Whole Body Motion Patterns

Abstract

This paper describes a novel approach for incremental learning of motion pattern primitives through long-term observation of human motion. Human motion patterns are abstracted into a stochastic model representation, which can be used for both subsequent motion recognition and generation. The model size is adaptable based on the discrimination requirements… (More)
DOI: 10.1007/978-3-642-14743-2_8

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