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Human Activity Recognition

Classify various human activities

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 681–690 of 744 papers

Title	Date	Tasks	Status	Hype
Learning Latent Sub-events in Activity Videos Using Temporal Attention Filters	May 26, 2016	Action ClassificationAction Recognition In Videos	CodeCode Available	0
ActiveHARNet: Towards On-Device Deep Bayesian Active Learning for Human Activity Recognition	May 31, 2019	Active LearningActivity Recognition	CodeCode Available	0
Hang-Time HAR: A Benchmark Dataset for Basketball Activity Recognition using Wrist-Worn Inertial Sensors	May 22, 2023	Activity RecognitionHuman Activity Recognition	CodeCode Available	0
Ensemble diverse hypotheses and knowledge distillation for unsupervised cross-subject adaptation	Apr 15, 2022	Activity RecognitionDomain Adaptation	CodeCode Available	0
Leveraging Activity Recognition to Enable Protective Behavior Detection in Continuous Data	Nov 3, 2020	Activity RecognitionHuman Activity Recognition	CodeCode Available	0
Hard Regularization to Prevent Deep Online Clustering Collapse without Data Augmentation	Mar 29, 2023	Activity RecognitionClustering	CodeCode Available	0
Enhancing Wearable Tap Water Audio Detection through Subclass Annotation in the HD-Epic Dataset	May 27, 2025	Activity RecognitionHuman Activity Recognition	CodeCode Available	0
Enhanced Spatio- Temporal Image Encoding for Online Human Activity Recognition	Dec 15, 2023	Activity RecognitionHuman Activity Recognition	CodeCode Available	0
Leveraging LDA Feature Extraction to Augment Human Activity Recognition Accuracy	Jun 23, 2024	Activity RecognitionHuman Activity Recognition	CodeCode Available	0
HARMamba: Efficient and Lightweight Wearable Sensor Human Activity Recognition Based on Bidirectional Mamba	Mar 29, 2024	Activity RecognitionHuman Activity Recognition	CodeCode Available	0

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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