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Human Activity Recognition

Classify various human activities

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 501–510 of 744 papers

Title	Date	Tasks	Status	Hype	Score
Timestamp-supervised Wearable-based Activity Segmentation and Recognition with Contrastive Learning and Order-Preserving Optimal Transport	Oct 13, 2023	Activity RecognitionContrastive Learning	—Unverified	0	0
Too Good To Be True: performance overestimation in (re)current practices for Human Activity Recognition	Oct 18, 2023	Activity RecognitionHuman Activity Recognition	—Unverified	0	0
Towards Deep Clustering of Human Activities from Wearables	Aug 2, 2020	Activity RecognitionClustering	—Unverified	0	0
Towards Learning Discrete Representations via Self-Supervision for Wearables-Based Human Activity Recognition	Jun 1, 2023	Activity RecognitionHuman Activity Recognition	—Unverified	0	0
Towards LLM-Powered Ambient Sensor Based Multi-Person Human Activity Recognition	Jun 25, 2024	Activity RecognitionHuman Activity Recognition	—Unverified	0	0
Towards Robust Human Activity Recognition from RGB Video Stream with Limited Labeled Data	Dec 16, 2018	Activity RecognitionData Augmentation	—Unverified	0	0
Towards Stroke Patients' Upper-limb Automatic Motor Assessment Using Smartwatches	Dec 9, 2022	Activity RecognitionHuman Activity Recognition	—Unverified	0	0
Towards Sustainable Personalized On-Device Human Activity Recognition with TinyML and Cloud-Enabled Auto Deployment	Aug 26, 2024	Activity RecognitionHuman Activity Recognition	—Unverified	0	0
Towards Using Unlabeled Data in a Sparse-coding Framework for Human Activity Recognition	Dec 25, 2013	Activity RecognitionHuman Activity Recognition	—Unverified	0	0
Transfer Learning for Future Wireless Networks: A Comprehensive Survey	Feb 15, 2021	Activity RecognitionHuman Activity Recognition	—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