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However, in the motion recognition phase, the motion is classified into its specific model, and in the motion generation phase, a command specifying the model is given to a robot.
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For what concerns the recognition phase, recent researches are often motion based, shape based, or multicue based.
The motion symbols allow motion recognition and synthesis.
Existing human motion recognition techniques are applied to recognise the human motions.
An interactive loop between motion recognition and motion generation is a fundamental mechanism for humans and humanoid robots.
We have been developing an intelligent framework for motion recognition and generation based on symbolizing motion primitives.
Human motion recognition is one of the most important branches of human-centered research activities.
In recent years, motion recognition based on RGB-D data has attracted much attention.
Fenwick, R. B., Esteban-Martin, S. & Salvatella, X. Understanding biomolecular motion, recognition, and allostery by use of conformational ensembles.
Self-adaptation is achieved through feedback from the recognition phase to the detection phase.
Table 1 Results of motion recognition events Scene no.
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