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Human Activity Recognition

Classify various human activities

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 331–340 of 744 papers

Title	Date	Tasks	Status	Hype	Score
Generalization Ability Analysis of Through-the-Wall Radar Human Activity Recognition	Oct 10, 2024	Activity RecognitionDimensionality Reduction	—Unverified	0	0
Generalizable Sensor-Based Activity Recognition via Categorical Concept Invariant Learning	Dec 18, 2024	Activity RecognitionHuman Activity Recognition	—Unverified	0	0
Continual Learning in Sensor-based Human Activity Recognition: an Empirical Benchmark Analysis	Apr 19, 2021	Activity RecognitionContinual Learning	—Unverified	0	0
A Prospective Approach for Human-to-Human Interaction Recognition from Wi-Fi Channel Data using Attention Bidirectional Gated Recurrent Neural Network with GUI Application Implementation	Feb 16, 2022	Activity RecognitionHuman Activity Recognition	—Unverified	0	0
Guided-GAN: Adversarial Representation Learning for Activity Recognition with Wearables	Oct 12, 2021	Activity RecognitionGenerative Adversarial Network	—Unverified	0	0
Hadamard Domain Training with Integers for Class Incremental Quantized Learning	Oct 5, 2023	Activity Recognitionclass-incremental learning	—Unverified	0	0
Generalizable Low-Resource Activity Recognition with Diverse and Discriminative Representation Learning	May 25, 2023	Activity RecognitionContrastive Learning	—Unverified	0	0
Generalizable Indoor Human Activity Recognition Method Based on Micro-Doppler Corner Point Cloud and Dynamic Graph Learning	Oct 10, 2024	Activity RecognitionDecision Making	—Unverified	0	0
Continual Learning in Human Activity Recognition: an Empirical Analysis of Regularization	Jul 6, 2020	Activity RecognitionContinual Learning	—Unverified	0	0
Gated Recurrent Neural Networks with Weighted Time-Delay Feedback	Dec 1, 2022	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