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Human Activity Recognition

Classify various human activities

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 101–110 of 744 papers

Title	Date	Tasks	Status	Hype	Score
Evaluating Spiking Neural Network On Neuromorphic Platform For Human Activity Recognition	Aug 1, 2023	Activity RecognitionHuman Activity Recognition	CodeCode Available	0	5
A Training Framework for Optimal and Stable Training of Polynomial Neural Networks	May 16, 2025	Audio ClassificationHomomorphic Encryption for Deep 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
A*HAR: A New Benchmark towards Semi-supervised learning for Class-imbalanced Human Activity Recognition	Jan 13, 2021	Activity RecognitionHuman Activity Recognition	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
Robust Explainer Recommendation for Time Series Classification	Jun 8, 2023	Activity RecognitionClassification	CodeCode Available	0	5
Enhanced Spatio- Temporal Image Encoding for Online Human Activity Recognition	Dec 15, 2023	Activity RecognitionHuman Activity Recognition	CodeCode Available	0	5
AutoGCN -- Towards Generic Human Activity Recognition with Neural Architecture Search	Feb 2, 2024	Action RecognitionActivity Recognition	CodeCode Available	0	5
Human Activity Recognition in an Open World	Dec 23, 2022	Activity RecognitionHuman Activity Recognition	CodeCode Available	0	5
ASM2TV: An Adaptive Semi-Supervised Multi-Task Multi-View Learning Framework for Human Activity Recognition	May 18, 2021	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