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Human Activity Recognition

Classify various human activities

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 61–70 of 744 papers

Title	Date	Tasks	Status	Hype
Time Series Segmentation Applied to a New Data Set for Mobile Sensing of Human Activities	Mar 28, 2023	Activity RecognitionChange Point Detection	CodeCode Available	1
Towards Continual Egocentric Activity Recognition: A Multi-modal Egocentric Activity Dataset for Continual Learning	Jan 26, 2023	Activity RecognitionContinual Learning	CodeCode Available	1
Comparing Self-Supervised Learning Techniques for Wearable Human Activity Recognition	Apr 8, 2024	Activity RecognitionHuman Activity Recognition	CodeCode Available	1
Deep Unsupervised Domain Adaptation for Time Series Classification: a Benchmark	Dec 15, 2023	Activity RecognitionDomain Adaptation	CodeCode Available	1
CALDA: Improving Multi-Source Time Series Domain Adaptation with Contrastive Adversarial Learning	Sep 30, 2021	Activity RecognitionContrastive Learning	CodeCode Available	1
HAR-GCNN: Deep Graph CNNs for Human Activity Recognition From Highly Unlabeled Mobile Sensor Data	Mar 7, 2022	Activity RecognitionHuman Activity Recognition	CodeCode Available	1
Contrastive Learning with Cross-Modal Knowledge Mining for Multimodal Human Activity Recognition	May 20, 2022	Activity RecognitionContrastive Learning	CodeCode Available	1
DANA: Dimension-Adaptive Neural Architecture for Multivariate Sensor Data	Aug 5, 2020	Activity RecognitionHuman Activity Recognition	CodeCode Available	1
Multi-Head Adaptive Graph Convolution Network for Sparse Point Cloud-Based Human Activity Recognition	Apr 3, 2025	Activity RecognitionHuman Activity Recognition	CodeCode Available	1
Multimodal video and IMU kinematic dataset on daily life activities using affordable devices (VIDIMU)	Mar 27, 2023	Activity RecognitionHuman Activity Recognition	CodeCode Available	1

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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