Activity Recognition

Human Activity Recognition is the problem of identifying events performed by humans given a video input. It is formulated as a binary (or multiclass) classification problem of outputting activity class labels. Activity Recognition is an important problem with many societal applications including smart surveillance, video search/retrieval, intelligent robots, and other monitoring systems.

Source: Learning Latent Sub-events in Activity Videos Using Temporal Attention Filters

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 711–720 of 1322 papers

Title	Date	Tasks	Status
Personalized Federated Learning for Intelligent IoT Applications: A Cloud-Edge based Framework	Feb 25, 2020	Activity RecognitionEdge-computing	—Unverified
Personalized Human Activity Recognition Using Convolutional Neural Networks	Jan 25, 2018	Activity RecognitionHuman Activity Recognition	—Unverified
Personalized Semi-Supervised Federated Learning for Human Activity Recognition	Apr 15, 2021	Active LearningActivity Recognition	—Unverified
Personalizing human activity recognition models using incremental learning	May 29, 2019	Activity RecognitionGeneral Classification	—Unverified
Personalizing Smartwatch Based Activity Recognition Using Transfer Learning	Sep 3, 2019	Activity RecognitionTransfer Learning	—Unverified
Phase-driven Domain Generalizable Learning for Nonstationary Time Series	Feb 5, 2024	Activity RecognitionGesture Recognition	—Unverified
Physical Activity Recognition Based on a Parallel Approach for an Ensemble of Machine Learning and Deep Learning Classifiers	Mar 2, 2021	Activity RecognitionFeature Engineering	—Unverified
Physical Activity Recognition by Utilising Smartphone Sensor Signals	Jan 20, 2022	Activity RecognitionComputer Security	—Unverified
PhysioGAN: Training High Fidelity Generative Model for Physiological Sensor Readings	Apr 25, 2022	Activity RecognitionClassification	—Unverified
PIM: Physics-Informed Multi-task Pre-training for Improving Inertial Sensor-Based Human Activity Recognition	Mar 23, 2025	Activity RecognitionData Augmentation	—Unverified

Show:10 25 50

← PrevPage 72 of 133Next →

All datasets RWF-2000 Stanford40 First-Person Hand Action Benchmark Self-stimulatory Behavior Dataset

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	Structured Keypoint Pooling	Accuracy	93.4	—	Unverified
2	Semi-Supervised Hard Attention (SSHA); pretrained on Deepmind Kinetics dataset	Accuracy	90.4	—	Unverified
3	Human Skeletons + Change Detection	Accuracy	90.25	—	Unverified
4	Separable Convolutional LSTM	Accuracy	89.75	—	Unverified
5	SPIL Convolution	Accuracy	89.3	—	Unverified
6	Flow Gated Network	Accuracy	87.25	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FocusCLIP	Top-3 Accuracy (%)	10.47	—	Unverified
2	CLIP	Top-3 Accuracy (%)	6.49	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Boutaleb et al.	1:1 Accuracy	97.91	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	all-landmark-model	Activity Recognition	0.76	—	Unverified