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Page 103                                                                Liu et al. Art Int Surg 2024;4:92-108  https://dx.doi.org/10.20517/ais.2024.19

               Table 4. Performance of our multi-class classification model under different mesh sequence lengths used to model each 5-second
               action clip
                FPS        Recall↑            Precision↑                F1↑         AUPRC↑
                30         0.77               0.76                      0.77        0.76
                25         0.71               0.71                      0.71        0.77
                20         0.79               0.76                      0.76        0.77
                15         0.78               0.78                      0.78        0.76
                10         0.80               0.79                      0.79        0.82
                5          0.77               0.77                      0.77        0.81

               Videos are initially captured at 30 FPS. Embeddings are modeled as 3D joint positions. Bolding indicates a top score. AUPRC: The area under the
               precision-recall curve; FPS: frames-per-second.






















































                Figure 5. Comparisons of visual field-of-view composites from tracklets engaging in walking movements (A-D), hand-tool interactions
                (E-H), and observation of peers (I-L), where actions are mutually exclusive for each respective tracklet. The visual attention profiles for
                tracklets engaging in walking movements (A-D) are substantially more dispersed relative to tracklets engaging in hand-tool interactions
                (E-H) and moderately interspersed relative to tracklets engaging in observation of peer activities (I-L).
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