Compensatory movement detection on Stroke rehabilitation skeleton data (test)
85.8AccuracyGCN-LATM-ATT
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| GCN-LATM-ATTModel=GCN-LSTM-ATT fusion model2025.12 | 85.8 | 86.95 | 85.8 | 86.03 | |
| SVMModel=Support Vector Machine2025.12 | 79.01 | 82.67 | 79.01 | 78.87 | |
| RFModel=Random Forest2025.12 | 68.52 | 75.99 | 68.52 | 69.03 | |
| KNNModel=K-Nearest Neighbors2025.12 | 64.81 | 65.62 | 64.81 | 64.59 |