Gesture Estimation on sEMG mean across fifteen subjects
89.26Top-1 AccuracyJASNN
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| JASNNModel=JASNN, Category=SNN-Ours2024.05 | 89.26 | 0.31 | |
| Zhou et al. 2021Model=Informer, Category=DNN2024.05 | 88.32 | 0.36 | |
| LSNN+SJAModel=LSNN+SJA(Ours), Backbone=LSNN [7], Category=SNN-Ours2024.05 | 88.1 | 0.25 | |
| Rahimian et al. 2022Model=TCN+Attention, Category=DNN2024.05 | 87.1 | 0.57 | |
| Bellec et al. 2018Model=LSNN, Category=SNN2024.05 | 86.24 | 0.22 | |
| Zhang et al. 2023Model=Transformer, Category=DNN2024.05 | 86.21 | 0.31 | |
| Xu et al. 2023Model=SCNN, Category=SNN2024.05 | 84.3 | 0.23 | |
| Rahimian et al. 2021Model=Transformer, Category=DNN2024.05 | 84.23 | 0.37 | |
| Chen et al. 2021Model=GRU, Category=DNN2024.05 | 82.19 | 0.28 | |
| Tsinganos et al. 2020Model=TCN, Category=DNN2024.05 | 79.69 | 0.83 | |
| Zhang et al. 2022Model=SIB+SNN, Category=SNN2024.05 | 77.84 | 0.62 | |
| Asif et al. 2020Model=CNN, Category=DNN2024.05 | 75.46 | 0.52 |