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Human Activity Recognition

Classify various human activities

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 81–90 of 744 papers

Title	Date	Tasks	Status	Hype	Score
Human Activity Recognition: A Spatio-temporal Image Encoding of 3D Skeleton Data for Online Action Detection	Feb 8, 2020	Action DetectionActivity 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
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
Robust Explainer Recommendation for Time Series Classification	Jun 8, 2023	Activity RecognitionClassification	CodeCode Available	0	5
MONAQ: Multi-Objective Neural Architecture Querying for Time-Series Analysis on Resource-Constrained Devices	May 15, 2025	Activity RecognitionCode Generation	CodeCode Available	0	5
Evaluating Spiking Neural Network On Neuromorphic Platform For Human Activity Recognition	Aug 1, 2023	Activity RecognitionHuman Activity Recognition	CodeCode Available	0	5
Feature engineering workflow for activity recognition from synchronized inertial measurement units	Dec 18, 2019	Activity RecognitionBIG-bench Machine Learning	CodeCode Available	0	5
A Matter of Annotation: An Empirical Study on In Situ and Self-Recall Activity Annotations from Wearable Sensors	May 15, 2023	Activity RecognitionHuman Activity Recognition	CodeCode Available	0	5
Accurate Passive Radar via an Uncertainty-Aware Fusion of Wi-Fi Sensing Data	Jul 1, 2024	Activity RecognitionHuman Activity Recognition	CodeCode Available	0	5
Activity and Subject Detection for UCI HAR Dataset with & without missing Sensor Data	May 10, 2025	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