Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Reusing motion capture data is of great importance in games and simulations. Therefore, many techniques from motion synthesis aim at concatenating or blending existing pieces of motion. For concatenation, a distance metric is required to detect good transition points. , three common distance metrics are evaluated both quantitatively and qualitatively. In the quantitive analysis  evaluate foot-skate, path deviation and on-line running time. The qualitative analysis is done by a user study.  observed that the point cloud metric results in a very slow graph search and a high path deviation compared to the other metrics. Hover, this metric results in less foot skating.  also show that increasing the graph size does not alway introduce more visual artifacts. Based on our observations,  propose a set of guidelines when using these metrics in a motion synthesizer.
['B. J. H. van Basten', 'Arjan Egges']
I am writing a research paper on a idea Evaluating distance metrics for animation blending
[{"from": "human", "value": "I am writing a research paper on a idea Evaluating distance metrics for animation blending"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Reusing motion capture data is of great importance in games and simulations. Therefore, many techniques from motion synthesis aim at concatenating or blending existing pieces of motion. For concatenation, a distance metric is required to detect good transition points. , three common distance metrics are evaluated both quantitatively and qualitatively. In the quantitive analysis  evaluate foot-skate, path deviation and on-line running time. The qualitative analysis is done by a user study.  observed that the point cloud metric results in a very slow graph search and a high path deviation compared to the other metrics. Hover, this metric results in less foot skating.  also show that increasing the graph size does not alway introduce more visual artifacts. Based on our observations,  propose a set of guidelines when using these metrics in a motion synthesizer."}]