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 781–790 of 1322 papers

Title	Date	Tasks	Status
RISAR: RIS-assisted Human Activity Recognition with Commercial Wi-Fi Devices	Feb 27, 2024	Activity RecognitionDenoising	—Unverified
Robust Activity Recognition for Adaptive Worker-Robot Interaction using Transfer Learning	Aug 28, 2023	Activity RecognitionHuman Activity Recognition	—Unverified
Robust Automated Human Activity Recognition and its Application to Sleep Research	Jul 17, 2016	Activity RecognitionHuman Activity Recognition	—Unverified
Robust Multimodal Fusion for Human Activity Recognition	Mar 8, 2023	Activity RecognitionDenoising	—Unverified
SecureSense: Defending Adversarial Attack for Secure Device-Free Human Activity Recognition	Apr 4, 2022	Activity RecognitionAdversarial Attack	—Unverified
Robust Trajectory-based Density Estimation for Geometric Structure Recovery: Theory and Applications	Oct 1, 2022	Activity RecognitionDensity Estimation	—Unverified
RSA: Randomized Simulation as Augmentation for Robust Human Action Recognition	Dec 3, 2019	Action RecognitionActivity Recognition	—Unverified
rTsfNet: a DNN model with Multi-head 3D Rotation and Time Series Feature Extraction for IMU-based Human Activity Recognition	Oct 30, 2023	Activity RecognitionHuman Activity Recognition	—Unverified
rWISDM: Repaired WISDM, a Public Dataset for Human Activity Recognition	May 17, 2023	Activity RecognitionHuman Activity Recognition	—Unverified
ScalableHD: Scalable and High-Throughput Hyperdimensional Computing Inference on Multi-Core CPUs	Jun 10, 2025	Activity RecognitionHuman Activity Recognition	—Unverified

Show:10 25 50

← PrevPage 79 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