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ResearchFormerly WizWand

Human Activity Recognition on WISDM

89.1Macro F1FlowFM
65.263271.451677.6483.8284Dec 17, 2025Dec 26, 2025Jan 4, 2026Jan 13, 2026Jan 22, 2026Jan 31, 2026Feb 10, 2026
Updated 6mo ago

Evaluation results

MethodLinks
FlowFMEvaluation Protocol=Fine-tuning2025.1289.10.8918
SENvT-u7Evaluation Protocol=Fine-tuning2025.1288.670.8875
DiffFMEvaluation Protocol=Fine-tuning2025.1288.320.8839
1D-DINOEvaluation Protocol=Fine-tuning2025.1286.840.8693
SENvT-u4Evaluation Protocol=Fine-tuning2025.1286.790.8693
FlowFMEvaluation Protocol=Transfer learning2025.1283.220.8337
TinierHAR2026.0283.06—
TinierHAR2026.0283.06—
DiffFMEvaluation Protocol=Transfer learning2025.1282.240.8261
DeepConvLSTM2026.0281.84—
DeepConvLSTM2026.0281.25—
SSL-WearablesEvaluation Protocol=Fine-tuning2025.1281—
1D-Diffusion ClassifierEvaluation Protocol=Fine-tuning2025.1280.750.8076
Crossover-BiDir-BabyMambaDirectionality=Bidirectional2026.0280.69—
BERTEvaluation Protocol=Fine-tuning2025.1279.240.7923
CI-BabyMamba-HARChannel Processing=Channel Independent2026.0277.76—
1D-DINOEvaluation Protocol=Transfer learning2025.1277.160.7747
TinyHAR2026.0277.09—
TinyHAR2026.0277.09—
µBi-ConvLSTM2026.0273.17—
SSL-WearablesEvaluation Protocol=Transfer learning2025.1272.3—
SENvT-u7Evaluation Protocol=Transfer learning2025.1267.660.6819
SENvT-u4Evaluation Protocol=Transfer learning2025.1266.180.6667
DLinearAvg Params=3.64M, Avg GFlops=0.12G2025.08—60.41
FiLMAvg Params=12.59M, Avg GFlops=0.58G2025.08—80.06
iTransformerAvg Params=491.73K, Avg GFlops=0.05G2025.08—83.89
LightTSAvg Params=1.85M, Avg GFlops=0.07G2025.08—84.95
LITEAvg Params=16.84K, Avg GFlops=0.27G2025.08—97.79
MambaAvg Params=235.81K, Avg GFlops=5.11G2025.08—97.88
MiniROCKETAvg Params=72.55K, Avg GFlops=0.55G2025.08—95.2
PatchTSTAvg Params=485.79K, Avg GFlops=1.63G2025.08—85.49
PRISMAvg Params=13.59K, Avg GFlops=0.04G2025.08—94.65
TimesNetAvg Params=56.69M, Avg GFlops=4.07T2025.08—87.24
TSLANetAvg Params=762.32K, Avg GFlops=2.12G2025.08—95.38