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Human Activity Recognition

Classify various human activities

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 71–80 of 744 papers

Title	Date	Tasks	Status	Hype	Score
CALDA: Improving Multi-Source Time Series Domain Adaptation with Contrastive Adversarial Learning	Sep 30, 2021	Activity RecognitionContrastive Learning	CodeCode Available	1	5
Bridge-Prompt: Towards Ordinal Action Understanding in Instructional Videos	Mar 26, 2022	Action SegmentationAction Understanding	CodeCode Available	1	5
Self-supervised transfer learning of physiological representations from free-living wearable data	Nov 18, 2020	Activity RecognitionHuman Activity Recognition	CodeCode Available	1	5
Feature engineering workflow for activity recognition from synchronized inertial measurement units	Dec 18, 2019	Activity RecognitionBIG-bench Machine Learning	CodeCode Available	0	5
FedAli: Personalized Federated Learning with Aligned Prototypes through Optimal Transport	Nov 15, 2024	Activity RecognitionFederated Learning	CodeCode Available	0	5
Evaluation of self-supervised pre-training for automatic infant movement classification using wearable movement sensors	May 16, 2023	Human Activity RecognitionSelf-Supervised Learning	CodeCode Available	0	5
AdaRNN: Adaptive Learning and Forecasting of Time Series	Aug 10, 2021	Activity RecognitionFinancial Analysis	CodeCode Available	0	5
Explaining Human Activity Recognition with SHAP: Validating Insights with Perturbation and Quantitative Measures	Nov 6, 2024	Action RecognitionActivity Recognition	CodeCode Available	0	5
Through-the-Wall Radar Human Activity Recognition WITHOUT Using Neural Networks	Jun 5, 2025	Activity RecognitionHuman Activity Recognition	CodeCode Available	0	5
Enhancing Wearable Tap Water Audio Detection through Subclass Annotation in the HD-Epic Dataset	May 27, 2025	Activity RecognitionHuman Activity Recognition	CodeCode Available	0	5

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All datasets RHM OAD dataset PAMAP2 HAR HMDB51 MM-Fit Radar Dataset (DIAT-μRadHAR: Radar micro-Doppler Signature dataset for Human Suspicious Activity Recognition)UCF-101

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	Dual-Stream C3D	Accuracy (Top-1)	71.06	—	Unverified
2	C3D	Accuracy (Top-1)	70.3	—	Unverified
3	Dual-Stream ConvNet	Accuracy (Top-1)	62.77	—	Unverified
4	SlowFast (101)	Accuracy (Top-1)	45.28	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ESTIE + VGG16 (transfer-learning)	Accuracy	95.22	—	Unverified
2	STIE + VGG16 (transfer-learning)	Accuracy	94.77	—	Unverified
3	STIE + VGG16(fine-tuning)	Accuracy	86.81	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	AFVF	Accuracy	0.97	—	Unverified
2	Selective HAR Clustering	NMI	0.88	—	Unverified
3	Unsupervised embedding learning for human activity recognition using wearable sensor data	NMI	0.87	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	LMSS	Accuracy	1	—	Unverified
2	AFVF	Accuracy	0.99	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Label-Ranker	Accuracy	61.18	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	unsupervised statistical feature guided diffusion model	F1 - macro	0.44	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DIAT-RadHARNet	1:1 Accuracy	99.22	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Label-Ranker	Accuracy	89.5	—	Unverified