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Human Activity Recognition

Classify various human activities

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 491–500 of 744 papers

Title	Date	Tasks	Status	Hype	Score
SWTF: Sparse Weighted Temporal Fusion for Drone-Based Activity Recognition	Nov 10, 2022	Activity RecognitionHuman Activity Recognition	—Unverified	0	0
TASKED: Transformer-based Adversarial learning for human activity recognition using wearable sensors via Self-KnowledgE Distillation	Sep 14, 2022	Activity RecognitionHuman Activity Recognition	—Unverified	0	0
WiFi-TCN: Temporal Convolution for Human Interaction Recognition based on WiFi signal	May 21, 2023	Activity RecognitionHuman Activity Recognition	—Unverified	0	0
Template co-updating in multi-modal human activity recognition systems	Dec 4, 2019	Activity RecognitionHuman Activity Recognition	—Unverified	0	0
Temporally Robust Global Motion Compensation by Keypoint-based Congealing	Mar 12, 2016	Activity RecognitionHuman Activity Recognition	—Unverified	0	0
TENT: Connect Language Models with IoT Sensors for Zero-Shot Activity Recognition	Nov 14, 2023	Activity RecognitionContrastive Learning	—Unverified	0	0
Text me the data: Generating Ground Pressure Sequence from Textual Descriptions for HAR	Feb 22, 2024	Activity RecognitionHuman Activity Recognition	—Unverified	0	0
The ACM Multimedia 2022 Computational Paralinguistics Challenge: Vocalisations, Stuttering, Activity, & Mosquitoes	May 13, 2022	Activity RecognitionHuman Activity Recognition	—Unverified	0	0
Three-stream network for enriched Action Recognition	Apr 27, 2021	Action RecognitionActivity Recognition	—Unverified	0	0
Time Series Similarity Score Functions to Monitor and Interact with the Training and Denoising Process of a Time Series Diffusion Model applied to a Human Activity Recognition Dataset based on IMUs	May 20, 2025	Activity RecognitionDenoising	—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