Human Activity Recognition on HHAR
96.6AccuracyQin et al.
Evaluation results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| Qin et al.Protocol=Supervised2022.09 | 96.6 | 96.6 | — | — | — | — | — | |
| GenHARSource=UCI2026.05 | 81.67 | — | — | — | — | — | — | |
| GenHARSource=Motion2026.05 | 80.7 | — | — | — | — | — | — | |
| UniHARSource=UCI2026.05 | 74.66 | — | — | — | — | — | — | |
| SDMixSource=Motion2026.05 | 74.09 | — | — | — | — | — | — | |
| STELLA2026.07 | 72.71 | 71.69 | — | — | — | — | — | |
| FreHARSource=UCI2026.05 | 72.19 | — | — | — | — | — | — | |
| LIMUBERTSource=UCI2026.05 | 69.44 | — | — | — | — | — | — | |
| LSTMSource=UCI2026.05 | 68.15 | — | — | — | — | — | — | |
| GenHARSource=Shoaib2026.05 | 65.7 | — | — | — | — | — | — | |
| LIMUBERTSource=Motion2026.05 | 64.63 | — | — | — | — | — | — | |
| Efficient Deep HAR Clustering ModelProtocol=Clustering2022.09 | 62.3 | 59 | 67.9 | 50.5 | — | — | — | |
| SDMixSource=UCI2026.05 | 61.1 | — | — | — | — | — | — | |
| UniHARSource=Motion2026.05 | 60.78 | — | — | — | — | — | — | |
| TSFCNSource=Shoaib2026.05 | 60.57 | — | — | — | — | — | — | |
| UniHARSource=Shoaib2026.05 | 60.45 | — | — | — | — | — | — | |
| N2DProtocol=Clustering2022.09 | 59.7 | 59.3 | 60.8 | 46 | — | — | — | |
| CNNSource=Shoaib2026.05 | 59.5 | — | — | — | — | — | — | |
| RAG-HAR2025.12 | 58.61 | 59.86 | — | — | — | — | — | |
| RAG-HAR2026.07 | 58.61 | 59.86 | — | — | — | — | — | |
| ResNetSource=Shoaib2026.05 | 58.56 | — | — | — | — | — | — | |
| SDMixSource=Shoaib2026.05 | 58.31 | — | — | — | — | — | — | |
| LSTMSource=Shoaib2026.05 | 57.45 | — | — | — | — | — | — | |
| CNNSource=UCI2026.05 | 56.46 | — | — | — | — | — | — | |
| FreHARSource=Shoaib2026.05 | 54.71 | — | — | — | — | — | — | |
| ResNetSource=Motion2026.05 | 53.49 | — | — | — | — | — | — | |
| FreHARSource=Motion2026.05 | 53.03 | — | — | — | — | — | — | |
| LIMUBERTSource=Shoaib2026.05 | 53 | — | — | — | — | — | — | |
| MLPSource=Motion2026.05 | 52.37 | — | — | — | — | — | — | |
| ResNetSource=UCI2026.05 | 51.21 | — | — | — | — | — | — | |
| MLPSource=Shoaib2026.05 | 50.18 | — | — | — | — | — | — | |
| TSFCNSource=Motion2026.05 | 49.62 | — | — | — | — | — | — | |
| MLPSource=UCI2026.05 | 45.94 | — | — | — | — | — | — | |
| TSFCNSource=UCI2026.05 | 44.81 | — | — | — | — | — | — | |
| LSTMSource=Motion2026.05 | 43.7 | — | — | — | — | — | — | |
| CNNSource=Motion2026.05 | 43.12 | — | — | — | — | — | — | |
| ContraTSCSource=UCI2026.05 | 42.86 | — | — | — | — | — | — | |
| ContraTSCSource=Shoaib2026.05 | 42.86 | — | — | — | — | — | — | |
| ContraTSCSource=Motion2026.05 | 42.86 | — | — | — | — | — | — | |
| Attend-Discriminate2026.05 | — | 94.17 | — | — | — | 94.23 | — | |
| Bayesian ProtoAdaptation Protocol=Supervised, Shots=1 shot, Calibration duration=3 seconds2026.06 | — | — | — | — | — | — | 2.76 | |
| Conv-Transformer2026.05 | — | 93.15 | — | — | — | 93.11 | — | |
| ConvBoost2026.05 | — | 94.04 | — | — | — | 93.93 | — | |
| CPC2025.12 | — | 59.17 | — | — | — | — | — | |
| CPC2026.07 | — | 59.17 | — | — | — | — | — | |
| DeepConvLSTM2025.12 | — | 52.37 | — | — | — | — | — | |
| DeepConvLSTM2026.05 | — | 91.9 | — | — | — | 91.97 | — | |
| DeepConvLSTM2026.07 | — | 52.37 | — | — | — | — | — | |
| DeepSense2026.05 | — | 92.02 | — | — | — | 92.03 | — | |
| Dynamic-WHAR2026.05 | — | 89.06 | — | — | — | 89.22 | — | |
| Efficient Deep HAR Clustering Model2022.09 | — | 59 | 67.9 | — | — | — | — | |
| Enhanced CPC2025.12 | — | 59.25 | — | — | — | — | — | |
| Enhanced CPC2026.07 | — | 59.25 | — | — | — | — | — | |
| Global Fusion2026.05 | — | 91.74 | — | — | — | 91.56 | — | |
| GRU Classifier2025.12 | — | 45.23 | — | — | — | — | — | |
| GRU Classifier2026.07 | — | 45.23 | — | — | — | — | — | |
| IF-Conv-Transformer2026.05 | — | 95.01 | — | — | — | 95.13 | — | |
| Logistic ProbeAdaptation Protocol=Supervised, Shots=1 shot, Calibration duration=3 seconds2026.06 | — | — | — | — | — | — | -3.27 | |
| M212022.09 | — | 65.9 | 55 | — | — | — | — | |
| MAP-EM ProtoAdaptation Protocol=Unsupervised, Shots=1 shot, Calibration duration=3 seconds2026.06 | — | — | — | — | — | — | 0.56 | |
| OFTTAAdaptation Protocol=Unsupervised, Shots=1 shot, Calibration duration=3 seconds2026.06 | — | — | — | — | — | — | -3.57 | |
| PDAAdaptation Protocol=Unsupervised, Shots=1 shot, Calibration duration=3 seconds2026.06 | — | — | — | — | — | — | -12.81 | |
| SimCLR2025.12 | — | 52.84 | — | — | — | — | — | |
| SimCLR2026.07 | — | 52.84 | — | — | — | — | — | |
| Standard ProtoAdaptation Protocol=Supervised, Shots=1 shot, Calibration duration=3 seconds2026.06 | — | — | — | — | — | — | -2.65 | |
| Transformer Encoder2026.05 | — | 85.59 | — | — | — | 85.57 | — | |
| TSF2026.05 | — | 95.81 | — | — | — | 96.02 | — |