SOTAVerified|Agents Browse Leaderboard About

Human Activity Recognition

Classify various human activities

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 261–270 of 744 papers

Title	Date	Tasks	Status	Hype
randomHAR: Improving Ensemble Deep Learners for Human Activity Recognition with Sensor Selection and Reinforcement Learning	Jul 15, 2023	Activity RecognitionFeature Engineering	—Unverified	0
A Comprehensive Review of Automated Data Annotation Techniques in Human Activity Recognition	Jul 12, 2023	Activity RecognitionHuman Activity Recognition	—Unverified	0
A Real-time Human Pose Estimation Approach for Optimal Sensor Placement in Sensor-based Human Activity Recognition	Jul 6, 2023	Activity RecognitionHuman Activity Recognition	—Unverified	0
Don't freeze: Finetune encoders for better Self-Supervised HAR	Jul 3, 2023	Activity RecognitionHuman Activity Recognition	—Unverified	0
Post-train Black-box Defense via Bayesian Boundary Correction	Jun 29, 2023	Activity RecognitionAdversarial Attack	—Unverified	0
milliFlow: Scene Flow Estimation on mmWave Radar Point Cloud for Human Motion Sensing	Jun 29, 2023	Activity RecognitionDecision Making	CodeCode Available	1
GeXSe (Generative Explanatory Sensor System): An Interpretable Deep Generative Model for Human Activity Recognition in Smart Spaces	Jun 28, 2023	Activity RecognitionHuman Activity Recognition	—Unverified	0
A Novel Two Stream Decision Level Fusion of Vision and Inertial Sensors Data for Automatic Multimodal Human Activity Recognition System	Jun 27, 2023	Activity RecognitionHuman Activity Recognition	—Unverified	0
Attention-Refined Unrolling for Sparse Sequential micro-Doppler Reconstruction	Jun 25, 2023	Activity Recognitioncompressed sensing	CodeCode Available	0
Combining Public Human Activity Recognition Datasets to Mitigate Labeled Data Scarcity	Jun 23, 2023	Activity RecognitionHuman Activity Recognition	CodeCode Available	0

Show:10 25 50

← PrevPage 27 of 75Next →

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