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Human Activity Recognition

Classify various human activities

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 1–10 of 744 papers

Title	Date	Tasks	Status	Hype	Score
ALS-HAR: Harnessing Wearable Ambient Light Sensors to Enhance IMU-based Human Activity Recogntion	Aug 18, 2024	Activity RecognitionHuman Activity Recognition	CodeCode Available	3	5
HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors	Nov 17, 2022	Activity PredictionActivity Recognition	CodeCode Available	3	5
Human Activity Recognition using RGB-Event based Sensors: A Multi-modal Heat Conduction Model and A Benchmark Dataset	Apr 8, 2025	Activity RecognitionHuman Activity Recognition	CodeCode Available	2	5
Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency	Jun 17, 2022	Activity RecognitionDomain Adaptation	CodeCode Available	2	5
SenseFi: A Library and Benchmark on Deep-Learning-Empowered WiFi Human Sensing	Jul 16, 2022	Activity RecognitionDeep Learning	CodeCode Available	2	5
Class-incremental Learning for Time Series: Benchmark and Evaluation	Feb 19, 2024	Activity RecognitionBenchmarking	CodeCode Available	2	5
SensorLLM: Human-Intuitive Alignment of Multivariate Sensor Data with LLMs for Activity Recognition	Oct 14, 2024	Activity RecognitionDescriptive	CodeCode Available	2	5
CALDA: Improving Multi-Source Time Series Domain Adaptation with Contrastive Adversarial Learning	Sep 30, 2021	Activity RecognitionContrastive Learning	CodeCode Available	1	5
COMODO: Cross-Modal Video-to-IMU Distillation for Efficient Egocentric Human Activity Recognition	Mar 10, 2025	Activity RecognitionHuman Activity Recognition	CodeCode Available	1	5
Attention-Based Deep Learning Framework for Human Activity Recognition with User Adaptation	Jun 6, 2020	Activity RecognitionDeep Learning	CodeCode Available	1	5

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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