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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
Sequential Weakly Labeled Multi-Activity Localization and Recognition on Wearable Sensors using Recurrent Attention Networks	Apr 13, 2020	Activity RecognitionHuman Activity Recognition	CodeCode Available	0
Using Language Model to Bootstrap Human Activity Recognition Ambient Sensors Based in Smart Homes	Nov 23, 2021	Activity RecognitionHuman Activity Recognition	CodeCode Available	0
Context-Aware Predictive Coding: A Representation Learning Framework for WiFi Sensing	Sep 16, 2024	Activity RecognitionHuman Activity Recognition	CodeCode Available	0
SEZ-HARN: Self-Explainable Zero-shot Human Activity Recognition Network	Jun 25, 2025	Activity RecognitionHuman Activity Recognition	CodeCode Available	0
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
MONAQ: Multi-Objective Neural Architecture Querying for Time-Series Analysis on Resource-Constrained Devices	May 15, 2025	Activity RecognitionCode Generation	CodeCode Available	0
Reducing numerical precision preserves classification accuracy in Mondrian Forests	Jun 28, 2021	Activity RecognitionClassification	CodeCode Available	0
A*HAR: A New Benchmark towards Semi-supervised learning for Class-imbalanced Human Activity Recognition	Jan 13, 2021	Activity RecognitionHuman Activity Recognition	CodeCode Available	0
Defending Black-box Skeleton-based Human Activity Classifiers	Mar 9, 2022	Activity RecognitionHuman Activity Recognition	CodeCode Available	0
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

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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