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Human Activity Recognition on UCI-HAR

97.76AccuracyrTsfNet
38.209653.669869.1384.5902Oct 18, 2024Jan 22, 2025Apr 29, 2025Aug 4, 2025Nov 8, 2025Feb 13, 2026May 21, 2026

Evaluation results

MethodLinks
rTsfNet2026.0497.7697.79
TCNet2026.0497.5997.65
MSTN-TransformerA.Block=Transf., Size=4.01, Inference time=3.632025.1196.84—
two-level network architecture with dual-stage feature fusionarchitecture=dual-stage 1D CNN, fusion=intermediate2026.0496.75—
MSTN-BiLSTMA.Block=BiLSTM, Size=1.68, Inference time=2.222025.1196.41—
PRISMAvg Params=13.59K, Avg GFlops=0.04G2025.0896.37—
MiniROCKETAvg Params=72.55K, Avg GFlops=0.55G2025.0895.92—
CNN-LSTM [14]reference=[14], variant=multi-head CNN-LSTM2026.0495.76—
MchCnnGRU2026.0495.5595.49
mobileHART2026.0494.7194.69
iTransformer2026.0493.3593.37
PatchTSTInference time=4.362025.1193.21—
CNN-LSTM [15]reference=[15], variant=standard CNN-LSTM2026.0492.83—
RandomForest2026.0492.6792.57
TimesNet2026.0492.6792.67
LITEAvg Params=16.84K, Avg GFlops=0.27G2025.0892.55—
TSLANetAvg Params=762.32K, Avg GFlops=2.12G2025.0892.53—
Reformer2026.0492.592.55
ICGNet2026.0492.4792.62
Informer2026.0492.492.35
UniMTSNumber of Classes=6, Level=Easy2024.1092.192.2
H-LSTMreference=[13], description=hierarchical LSTM for time-frequency characteristics2026.0491.65—
TimesNetInference time=45.302025.1191.38—
GenHARSource=Motion2026.0591.29—
MambaAvg Params=235.81K, Avg GFlops=5.11G2025.0891.23—
LightTS2026.0491.1890.89
Pyraformer2026.0491.1191.09
FEDformer2026.0490.9490.83
iTransformerAvg Params=491.73K, Avg GFlops=0.05G2025.0890.88—
Crossformer2026.0490.8790.83
Transformer2026.0490.8490.82
SensorLLM2026.0490.891.2
XGBoostNumber of Classes=6, Level=Easy2024.1090.290.1
MantisV2Zero-shot=true2026.0290.13—
MA-CNNNumber of Classes=6, Level=Easy2024.1089.889.5
TiViT-HZero-shot=true2026.0289.36—
DeepConvLSTM2026.0489.289.2
TiConvNextZero-shot=true2026.0289.18—
Mantis+Zero-shot=true2026.0289.11—
TimesNetAvg Params=56.69M, Avg GFlops=4.07T2025.0889.02—
LightTSAvg Params=1.85M, Avg GFlops=0.07G2025.0888.96—
Chronos2Zero-shot=true2026.0288.73—
NuTimeZero-shot=true2026.0288.42—
FiLM2026.0488.0687.71
GenHARSource=Shoaib2026.0587.91—
MOMENTZero-shot=true2026.0287.82—
FiLMAvg Params=12.59M, Avg GFlops=0.58G2025.0887.68—
TiRexZero-shot=true2026.0287.44—
DeepCLNumber of Classes=6, Level=Easy2024.1086.987
Km,NB2025.1183.35—
Catch22+Zero-shot=true2026.0282.73—
UniHARSource=Shoaib2026.0581.87—
TabICLZero-shot=true2026.0281.57—
GenHARSource=HHAR2026.0581.03—
TabPFNZero-shot=true2026.0280.9—
PatchTSTAvg Params=485.79K, Avg GFlops=1.63G2025.0879.21—
UniHARSource=HHAR2026.0576.78—
FreHARSource=Shoaib2026.0573.15—
UniHARSource=Motion2026.0572.5—
LIMUBERTSource=Motion2026.0572.26—
SDMixSource=Shoaib2026.0571.77—
TSFCNSource=Shoaib2026.0570.37—
FreHARSource=HHAR2026.0568.58—
LIMUBERTSource=HHAR2026.0567.04—
ResNetSource=Shoaib2026.0566.53—
SDMixSource=Motion2026.0565.09—
CNNSource=Shoaib2026.0564.9—
ResNetSource=Motion2026.0563.52—
MLPSource=Shoaib2026.0560.64—
LSTMSource=Shoaib2026.0559.5—
FreHARSource=Motion2026.0558.27—
TSFCNSource=Motion2026.0557.51—
MLPSource=Motion2026.0556.43—
ContraTSCSource=HHAR2026.0555.54—
ContraTSCSource=Shoaib2026.0555.36—
MLPSource=HHAR2026.0554.51—
SDMixSource=HHAR2026.0554.49—
LSTMSource=Motion2026.0553.31—
LIMUBERTSource=Shoaib2026.0553—
DLinearAvg Params=3.64M, Avg GFlops=0.12G2025.0851.87—
CNNSource=Motion2026.0550.06—
CNNSource=HHAR2026.0548.85—
ResNetSource=HHAR2026.0548.02—
TSFCNSource=HHAR2026.0548.02—
ContraTSCSource=Motion2026.0545.05—
LSTMSource=HHAR2026.0540.5—
CI-BabyMamba-HARChannel Processing=Channel Independent2026.02—84.79
Crossover-BiDir-BabyMambaDirectionality=Bidirectional2026.02—95.13
DeepConvLSTM2026.02—93.53
DeepConvLSTM2026.02—93.61
TinierHAR2026.02—96.37
TinierHAR2026.02—96.37
TinyHAR2026.02—96.53
TinyHAR2026.02—96.53
µBi-ConvLSTM2026.02—93.41