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 511–520 of 1322 papers

Title	Date	Tasks	Status
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
Advancing Location-Invariant and Device-Agnostic Motion Activity Recognition on Wearable Devices	Feb 6, 2024	Activity Recognition	—Unverified
First Person Action Recognition Using Deep Learned Descriptors	Jun 1, 2016	Action RecognitionActivity Recognition	—Unverified
Continuous Human Activity Recognition using a MIMO Radar for Transitional Motion Analysis	Apr 12, 2023	Activity RecognitionHuman Activity Recognition	—Unverified
Continual Learning in Sensor-based Human Activity Recognition: an Empirical Benchmark Analysis	Apr 19, 2021	Activity RecognitionContinual Learning	—Unverified
A distillation-based approach integrating continual learning and federated learning for pervasive services	Sep 9, 2021	Activity RecognitionContinual Learning	—Unverified
Continual Learning in Human Activity Recognition: an Empirical Analysis of Regularization	Jul 6, 2020	Activity RecognitionContinual Learning	—Unverified
Continual Learning for Multivariate Time Series Tasks with Variable Input Dimensions	Mar 14, 2022	Activity RecognitionContinual Learning	—Unverified
A Probabilistic Jump-Diffusion Framework for Open-World Egocentric Activity Recognition	May 28, 2025	Activity RecognitionEgocentric Activity Recognition	—Unverified
Human Activity Recognition Using Visual Object Detection	May 2, 2019	Activity RecognitionBIG-bench Machine Learning	—Unverified

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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