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Human Activity Recognition

Classify various human activities

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 641–650 of 744 papers

Title	Date	Tasks	Status	Hype	Score
Benchmarking Classical, Deep, and Generative Models for Human Activity Recognition	Jan 14, 2025	Activity RecognitionBenchmarking	—Unverified	0	0
Beyond Confusion: A Fine-grained Dialectical Examination of Human Activity Recognition Benchmark Datasets	Dec 12, 2024	Activity RecognitionHuman Activity Recognition	—Unverified	0	0
Beyond Isolated Frames: Enhancing Sensor-Based Human Activity Recognition through Intra- and Inter-Frame Attention	May 21, 2024	Activity RecognitionHuman Activity Recognition	—Unverified	0	0
Beyond the Gates of Euclidean Space: Temporal-Discrimination-Fusions and Attention-based Graph Neural Network for Human Activity Recognition	Jun 10, 2022	Activity RecognitionGraph Neural Network	—Unverified	0	0
Bilinear Programming for Human Activity Recognition with Unknown MRF Graphs	Jun 1, 2013	Activity RecognitionHuman Activity Recognition	—Unverified	0	0
Body-Area Capacitive or Electric Field Sensing for Human Activity Recognition and Human-Computer Interaction: A Comprehensive Survey	Jan 11, 2024	Activity RecognitionHuman Activity Recognition	—Unverified	0	0
BON: An extended public domain dataset for human activity recognition	Sep 12, 2022	Activity RecognitionHuman Activity Recognition	—Unverified	0	0
Boosting Adversarial Transferability for Skeleton-based Action Recognition via Exploring the Model Posterior Space	Jul 11, 2024	Action RecognitionActivity Recognition	—Unverified	0	0
BSDGAN: Balancing Sensor Data Generative Adversarial Networks for Human Activity Recognition	Aug 7, 2022	Activity RecognitionHuman Activity Recognition	—Unverified	0	0
Bubblenet: A Disperse Recurrent Structure To Recognize Activities	Oct 30, 2020	Action RecognitionActivity Recognition	—Unverified	0	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