Figure 2. Schematic of the SUBTLE framework (IMAGE)
Caption
(A) The process of obtaining and analyzing 3D coordinates of key points from the movement of a mouse.
1) On the left, it shows the process of extracting 3D raw coordinates of the mouse's movements using the AVATAR3D, while on the right, it shows the process of processing and analyzing the 3D coordinate data obtained from AVATAR3D.
2) Extract the 3D action skeleton using the avatar.
3) Extract kinematic features and wavelet spectrograms from the key point coordinates.
4) Perform nonlinear t-SNE and UMAP algorithms; the embedding using UMAP developed in this study is called SUBTLE.
(B) Results of nonlinear mapping
It shows the embedding results using t-SNE and UMAP with an increasing number of clusters (k). t-SNE exhibits a tangled thread-like shape over time, whereas UMAP displays a well-aligned grid shape temporally. Additionally, UMAP consistently achieves higher TPI scores than t-SNE across all cluster numbers.
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Institute for Basic Science
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