SOTAVerified|Agents Browse Leaderboard About

Human Activity Recognition

Classify various human activities

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 121–130 of 744 papers

Title	Date	Tasks	Status	Hype	Score
B-HAR: an open-source baseline framework for in depth study of human activity recognition datasets and workflows	Jan 23, 2021	Activity RecognitionHuman Activity Recognition	CodeCode Available	0	5
Big-Little Adaptive Neural Networks on Low-Power Near-Subthreshold Processors	Apr 19, 2023	Activity RecognitionHuman Activity Recognition	CodeCode Available	0	5
MEx: Multi-modal Exercises Dataset for Human Activity Recognition	Aug 13, 2019	Activity RecognitionHuman Activity Recognition	CodeCode Available	0	5
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	5
Mukhtasir-Khail-Net: An Ultra-Efficient Convolutional Neural Network for Sports Activity Recognition with Wearable Inertial Sensors	Oct 22, 2024	Activity RecognitionHuman Activity Recognition	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
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
Efficient Deep Clustering of Human Activities and How to Improve Evaluation	Sep 17, 2022	ClusteringDeep Clustering	CodeCode Available	0	5
Easy Ensemble: Simple Deep Ensemble Learning for Sensor-Based Human Activity Recognition	Mar 8, 2022	Activity RecognitionEnsemble Learning	CodeCode Available	0	5
Attention-Refined Unrolling for Sparse Sequential micro-Doppler Reconstruction	Jun 25, 2023	Activity Recognitioncompressed sensing	CodeCode Available	0	5

Show:10 25 50

← PrevPage 13 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